وظائف مطورين بايثون - الرياض السعودية

Responsibilities: Lead and develop backend architecture using Python and Django. Design and build AI solutions and integrate advanced AI models and APIs into existing systems. Develop and design RESTful APIs and scalable software architectures. Improve database performance, tackle technical challenges, and ensure system stability and speed. Guide team developers and perform code reviews to implement best practices. Requirements & experience: 5 to 7 years of hands-on web development experience with Python and Django. Deep background and hands-on applications in AI, integrating tools and models with systems. Proficiency in databases (e.g., PostgreSQL) and caching tools (e.g., Redis). Strong experience in software architecture thinking and building microservices. Proficiency with version control tools (Git) and deployment/run environments (CI/CD & Cloud Services). <p><strong>Additional Details</strong></p><ul><li>Number of vacancies: 1</li><li>Shift system: Morning and Evening</li><li>Welcomes people with disabilities (mild mobility impairment, hearing impairment - designed, hearing impairment - partial hearing loss, use of crutch, use of wheelchair, limb amputation, polio)</li></ul>

Responsibilities and duties: Leading and developing the backend architecture using Python and Django. Designing and building AI solutions and integrating advanced models (AI Models & APIs) into existing systems. Building and designing RESTful APIs and scalable software architectures. Improving database performance, addressing complex technical challenges, and ensuring system stability and speed. Guiding developers in the team and conducting code reviews to apply best practices. Requirements and experience: At least 5 to 7 years of hands-on web development experience using Python and Django. In-depth background and practical applications in AI and integrating its tools and models with systems. Proficiency in working with databases (such as PostgreSQL) and caching tools (such as Redis).Strong experience in software architecture thinking and building microservices. Proficiency in version control tools (Git) and deployment/run environments (CI/CD & Cloud Services). <p><strong>Additional details</strong></p><ul><li>Number of vacancies: 1</li><li>Shift system: morning and evening</li><li>Welcomes people with special needs (mild mobility impairment, hearing impairment - designed, hearing impairment - hard of hearing, use of cane, use of wheelchair, limb amputation, polio)</li></ul>

<p>Design, build, and deploy AI/ML solutions that deliver measurable business value, using modern modeling, data pipelines, and MLOps practices, while collaborating with stakeholders to productionize AI responsibly.</p><p>Key Performance Indicators:</p><ul><li>Develop and deploy ML models reliably</li><li>Improve model accuracy and performance</li><li>Build scalable data and training pipelines</li><li>Own MLOps monitoring and continuous delivery</li><li>Deliver AI solutions meeting business KPIs</li></ul><p>Qualifications:</p><ul><li>4 5 years AI/ML engineering experience</li><li>Proven experience deploying ML models to production</li><li>Strong background in Python and ML frameworks</li><li>Experience with data pipelines and feature engineering</li><li>Bachelor s degree in Computer Science or related field</li></ul><p>Python Machine Learning Deep Learning PyTorch or TensorFlow SQL and data modeling MLOps (Docker, CI/CD) Model monitoring and evaluation Problem-solving mindset Cross-functional collaboration Stakeholder communication</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications:</p><ul><li>4 5 years AI/ML engineering experience</li><li>Proven experience deploying ML models to production</li><li>Strong background in Python and ML frameworks</li><li>Experience with data pipelines and feature engineering</li><li>Bachelor s degree in Computer Science or related field</li></ul><p>Python Machine Learning Deep Learning PyTorch or TensorFlow SQL and data modeling MLOps (Docker, CI/CD) Model monitoring and evaluation Problem-solving mindset Cross-functional collaboration Stakeholder communication</p>

<h3 >About DeepSource and the Role</h3> <p >DeepSource is seeking a <strong >Senior Linux System Administrator (HPC)</strong> to join our team in Riyadh, KSA. This is a full-time position focused on administering and supporting the critical infrastructure for a High-Performance Computing (HPC) environment. The role requires strong hands-on experience with Red Hat Enterprise Linux (RHEL) and Kubernetes, ensuring the stability and efficiency of our systems.</p> <h3 >Role Purpose</h3> <p >The primary purpose of this role is to maintain and enhance the underlying infrastructure that supports DeepSource's HPC operations. A key focus will be on system reliability, security, performance optimization, automation of processes, and ensuring high availability across all platforms. The successful candidate will play a crucial part in the operational excellence of our computing environment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Administer and maintain RHEL/Linux servers and HPC compute nodes.</li> <li >Install, configure, patch, upgrade, and troubleshoot Linux operating systems.</li> <li >Manage and support Kubernetes clusters, nodes, and workloads.</li> <li >Perform Linux performance tuning, system hardening, and troubleshooting.</li> <li >Monitor system health, capacity, performance, and availability.</li> <li >Automate infrastructure administration using Ansible, Shell scripting, Python, or similar tools.</li> <li >Support integration between compute, storage, networking, Kubernetes, and HPC platforms.</li> <li >Troubleshoot complex Linux, Kubernetes, and infrastructure issues.</li> <li >Implement security best practices across Linux and Kubernetes environments.</li> <li >Support incident resolution, root-cause analysis, and preventive actions.</li> <li >Maintain system configurations, technical documentation, and operational procedures.</li> </ul> <h3 >Required Experience and Qualifications</h3> <p >Candidates should possess strong hands-on experience in Red Hat Enterprise Linux (RHEL) and Kubernetes. While this is a senior role, the stated experience requirement is <strong >0-1 year</strong>. Proficiency in automation tools such as Ansible, Shell scripting, or Python is essential for infrastructure administration. A solid understanding of system reliability, security, performance, and availability principles is also required.</p> <h3 >Work Environment and Location</h3> <p >This is a full-time position based in <strong >Riyadh, KSA</strong>. The role involves working within a dynamic High-Performance Computing environment, collaborating to ensure robust and secure infrastructure operations.</p> <h3 >Application Information</h3> <p >Interested candidates are invited to apply for this position. The salary for this role will be discussed during the interview process.</p>

<h3 >About the Role</h3> <p >Raya Logistic Services is seeking a full-time <strong >ERPNext Developer</strong> to join their team in <strong >Riyadh, Saudi Arabia</strong>. This role is focused on implementing, customizing, and maintaining the ERPNext platform across various business operations, including finance, procurement, inventory, manufacturing, HR, and sales. The successful candidate will be instrumental in building custom applications and integrating ERPNext with existing systems to ensure a stable, secure, and fast production environment.</p> <h3 >Role Context and Scope</h3> <p >This position requires a developer who is proficient in both technical development and understanding business processes. The role involves writing clean Python and JavaScript code, as well as collaborating with business users to identify and resolve process inefficiencies. As part of a small IT team, the ERPNext Developer will own changes from requirement gathering through deployment and ongoing support, ensuring comprehensive management of the ERPNext platform.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design and build custom apps, DocTypes, child tables, workflows, dashboards, print formats, notifications, and web forms on the Frappe framework.</li> <li >Write server-side logic in Python and client-side behavior in JavaScript, including custom validations and automation.</li> <li >Develop reports using Report Builder, Query Report, and Script Report as appropriate.</li> <li >Configure role permissions, user permissions, and approval hierarchies, ensuring customizations are upgrade-safe.</li> <li >Gather requirements from business users, conduct gap-fit analysis, and translate outcomes into technical specifications.</li> <li >Configure and enhance modules such as Accounts, Buying, Selling &amp; CRM, Stock, Manufacturing, Assets, Projects, HR &amp; Payroll.</li> <li >Replace manual processes with workflows, scripts, and scheduled jobs.</li> <li >Execute data migration from legacy systems, including mapping, cleansing, bulk import, and reconciliation.</li> <li >Deliver user training and maintain end-user documentation and Standard Operating Procedures (SOPs).</li> <li >Build and consume REST APIs connecting ERPNext to external systems like banking portals, payment gateways, e-commerce, payroll, government e-invoicing platforms, and BI tools.</li> <li >Work across JSON/XML payloads, webhooks, and authentication schemes including OAuth, JWT, API keys, and SFTP-based file exchange.</li> <li >Diagnose integration failures, build appropriate retry and error handling, and keep interface documentation current.</li> <li >Provide L2/L3 application support: triage tickets, reproduce issues, resolve root causes, and contribute to incident reviews.</li> <li >Debug Python exceptions, JavaScript errors, failed background jobs, scheduler problems, and permission issues using relevant logs.</li> <li >Optimize slow reports and transactions through query tuning, indexing, and schema review in MariaDB/PostgreSQL.</li> <li >Maintain a working understanding of the ERPNext data model and the relationships between DocTypes.</li> <li >Manage bench-based development, staging, and production environments: site creation, app installation, version upgrades, patches, backups, and restores.</li> <li >Maintain the supporting stack including Linux, MariaDB, Redis, Nginx, Supervisor, ******, and background workers.</li> <li >Work in Git with a defined branching and release process; prepare deployment and rollback plans and participate in code review.</li> <li >Write tests using the Frappe testing framework and support user acceptance testing.</li> <li >Apply secure coding practices, protect sensitive financial, payroll, employee, and customer data; support audit and change-management requirements.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li >Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.</li> <li >Minimum of <strong >3+ years of hands-on ERPNext / Frappe framework development</strong> experience.</li> <li >Strong proficiency in <strong >Python</strong>; solid <strong >JavaScript (ES6), jQuery, HTML/CSS</strong>.</li> <li >Working knowledge of the <strong >Frappe framework</strong>: ORM, hooks, scheduled jobs, background workers, the permission model, and the workflow engine.</li> <li >Proficiency in <strong >MariaDB/PostgreSQL</strong>, including complex queries, joins, indexing, and performance tuning.</li> <li >Experience developing and integrating <strong >REST APIs</strong>.</li> <li >Familiarity with <strong >Linux command line and Git</strong>.</li> <li >Understanding of core business processes in at least two of: general ledger, procure-to-pay, order-to-cash, inventory and warehousing, production planning, payroll, or asset management.</li> <li >Clear written and spoken communication skills in <strong >English</strong> with both technical and non-technical stakeholders.</li> </ul> <h3 >Preferred Qualifications</h3> <ul > <li >ERPNext / Frappe certification, or contributions to the ERPNext or Frappe open-source repositories.</li> <li >Experience building a Frappe custom app from scratch.</li> <li >Frappe UI / ***, or other modern JavaScript framework experience.</li> <li >Knowledge of ERPNext v15+ architecture.</li> <li >Experience with Docker, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure).</li> <li >Regional compliance experience: VAT configuration, e-invoicing mandates, payroll compliance, end-of-service benefit calculations.</li> <li >Experience with multi-company and multi-currency deployments.</li> <li >Familiarity with BI tooling connected to ERP data (Power BI, Metabase, Grafana).</li> </ul> <h3 >Application Information</h3> <p >Raya Logistic Services offers a challenging opportunity for an ERPNext Developer to make a significant impact within a dynamic environment. This full-time position is based in Riyadh, Saudi Arabia.</p>

<p>Maharah Human Resources Company is seeking a skilled Artificial Intelligence Engineer to design, develop, and implement AI-based solutions to enhance business processes and products. The ideal candidate will have a strong background in machine learning, data analysis, and software development, with the ability to translate complex data into actionable insights.</p><p><b><br></b></p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy AI models and algorithms to solve real-world problems</li><li>Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions</li><li>Conduct research and stay updated with the latest advancements in AI and machine learning</li><li>Analyze large datasets to extract meaningful patterns and insights</li><li>Optimize existing AI models for performance and scalability</li><li>Write clean, efficient, and well-documented code</li><li>Ensure AI systems comply with ethical guidelines and data privacy standards</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field</li><li>Proven experience in AI/ML development and deployment</li><li>Strong programming skills in Python, R, or similar languages</li><li>Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Good understanding of algorithms, statistics, and data structures</li><li>Strong problem-solving skills and analytical mindset</li><li>Ability to work collaboratively in a team-oriented environment</li></ul>

<p>This is not your typical IR or analyst role, we spend large percentages of our time on project work, balancing this with our operational duties such as detection engineering and incident response. If you're ready to make a tangible impact and drive innovative security projects, apply now to join our global team and help shape the future of security at Almosafer.We are looking for systems &amp; software engineers who love to solve complex security problems fundamentally from first principles.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor of Science in Computer Science, Engineering, Information Systems, or equivalent years of experience in a related technical field</li><li>3+ years of experience in the field of incident response, detection engineering or related security disciplines</li><li>Strong programming skills in Python, Rust, and/or Go.</li><li>Practical experience with BeyondCorp or Zero Trust security models.Proven expertise in one or more detection &amp; response areas:</li><li>Digital forensics (artefacts, disk/cloud acquisition, tools like GRR, Timesketch)</li><li>Malware analysis (static &amp; dynamic, IDA Pro, Ghidra)</li><li>Incident management &amp; response (large-scale, multi-stakeholder events</li><li>Host/network intrusion detection (parsing large, unfamiliar logs/systems)</li><li>Network telemetry (flows, PCAPs, Zeek)</li><li>Threat intelligence (modelling actors and TTPs)</li><li>Threat hunting (finding IOCs across data lakes)</li><li>OS internals across two or more of macOS, Windows, or Linux covering file/disk structures, forensics, security controls, hardening, scripting, and binary analysis.</li><li>Advanced cloud knowledge able to build, deploy, and investigate security events across two or more of AWS, Kubernetes, or GCP.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an AI Solution Architect to translate complex banking business needs into scalable, secure enterprise AI system blueprints. This role owns end-to-end technical delivery from high-level design through production deployment while ensuring every solution aligns with the demands of a highly regulated financial IT landscape.</p><p>Key Responsibilities</p><ul><li>Design high-level and low-level architectures for banking AI applications</li><li>Securely integrate modern AI applications with core banking systems and databases</li><li>Evaluate and select optimal LLMs, vector stores, and machine learning platforms</li><li>Ensure enterprise-grade high availability, low latency, and system scalability</li><li>Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision</li><li>Partner with engineering, security, and platform teams through the full delivery lifecycle</li></ul><p>8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services</p><p>Hands-on experience with AI &amp; data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks</p><p>Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones</p><p>CI/CD &amp; MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks</p><p>Advanced Python skills Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex</p><p>Strong communication skills to translate technical architecture into business-relevant terms for stakeholders</p><p>Why Join Us</p><ul><li>Architect enterprise-scale AI solutions inside a live banking transformation program</li><li>Own technical decisions from blueprint to production real build authority, not just advisory</li><li>Work at the intersection of cutting-edge AI and strict financial-sector compliance</li><li>Be part of a forward-looking organization driving AI-led transformation in the region</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services</p><p>Hands-on experience with AI &amp; data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks</p><p>Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones</p><p>CI/CD &amp; MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks</p><p>Advanced Python skills Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex</p><p>Strong communication skills to translate technical architecture into business-relevant terms for stakeholders</p><p></p></section>

<h3 >About the Role: Artificial Intelligence Engineer</h3> <p >MIS - Al Moammar Information Systems Co. is seeking an <strong >Artificial Intelligence Engineer</strong> to join their team in <strong >Riyadh, Saudi Arabia</strong>. This <strong >full-time</strong> position focuses on designing, developing, and deploying advanced AI/ML solutions for various business and operational use cases. The role involves integrating machine learning and deep learning models into applications and platforms, contributing to the advancement of AI capabilities within the company.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and deploy AI/ML solutions for business and operational use cases.</li> <li >Develop and integrate machine learning and deep learning models into applications and platforms.</li> <li >Work with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and AI agents where applicable.</li> <li >Build AI solutions using Python and relevant AI/ML frameworks and libraries.</li> <li >Develop and integrate AI APIs and services into enterprise applications.</li> <li >Perform data preparation, model training, evaluation, optimization, and monitoring.</li> <li >Collaborate with software engineers, data teams, business analysts, and stakeholders to translate requirements into AI solutions.</li> <li >Ensure AI solutions are scalable, reliable, secure, and suitable for production environments.</li> <li >Stay up to date with emerging AI technologies, tools, frameworks, and industry best practices.</li> <li >Prepare technical documentation and contribute to AI architecture and solution design.</li> </ul> <h3 >Candidate Profile and Experience</h3> <ul > <li >A minimum of <strong >3+ years of professional experience</strong> in AI/ML engineering or a related role.</li> <li >Demonstrated experience working with APIs, databases, and integrating AI models into enterprise applications.</li> <li >Good understanding of machine learning algorithms, model evaluation, and data processing techniques.</li> <li >Strong analytical, problem-solving, communication, and teamwork skills.</li> </ul> <h3 >Technical Proficiencies</h3> <p >Candidates should possess proficiency in building AI solutions using <strong >Python</strong> and relevant AI/ML frameworks and libraries. Familiarity with cloud AI/ML platforms is considered a plus. Knowledge of <strong >Docker, Git, CI/CD, and MLOps</strong> is also beneficial for this role.</p> <h3 >Work Setting</h3> <p >This is a <strong >full-time</strong> position based in <strong >Riyadh, Saudi Arabia</strong>. The role involves working collaboratively within a team environment, engaging with various technical and business stakeholders to deliver robust AI solutions.</p> <h3 >Join Our Team</h3> <p >Join MIS - Al Moammar Information Systems Co. and contribute to the development of innovative artificial intelligence solutions that drive business and operational advancements.</p>

<h3 >About the Role</h3> <p >TawanTech is seeking a <strong >Senior Specialist - Cybersecurity Production Support</strong> to join our team in Riyadh, Riyadh Province. This is a full-time position focused on maintaining robust cybersecurity operations within enterprise environments.</p> <h3 >Role Purpose</h3> <p >The Senior Specialist will be responsible for providing critical support and maintenance for various cybersecurity platforms. The primary objective is to ensure high availability, operational stability, and effective security monitoring across the organization's systems.</p> <h3 >Key Responsibilities</h3> <ul > <li >Provide production support for cybersecurity platforms, including SIEM, SOAR, VPN, and security monitoring solutions.</li> <li >Monitor cybersecurity platforms, dashboards, alerts, and operational activities to identify and address issues proactively.</li> <li >Support Splunk SIEM use cases, log ingestion, correlation rules, and performance optimization efforts.</li> <li >Manage and maintain SOAR workflows, playbooks, and automation processes to enhance incident response capabilities.</li> <li >Support VPN infrastructure, ensuring secure remote access and reliable site-to-site connectivity.</li> <li >Perform Incident, Problem, and Change Management activities in adherence to ITIL practices.</li> <li >Conduct Root Cause Analysis (RCA) for security incidents and platform-related issues.</li> <li >Support Cyber Incident Response activities, including investigation and remediation efforts.</li> <li >Participate in Disaster Recovery (DR) and Business Continuity Planning (BCP) initiatives.</li> <li >Maintain comprehensive security documentation, runbooks, Standard Operating Procedures (SOPs), and operational reports.</li> <li >Collaborate with security teams, infrastructure teams, and external vendors for effective issue resolution.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Bachelor’s degree in Cybersecurity, Information Security, Computer Science, or a closely related field.</li> <li >4–8 years of experience in cybersecurity production support, preferably within enterprise or financial environments.</li> </ul> <h3 >Required Technical Skills and Knowledge</h3> <ul > <li >Hands-on experience with SIEM platforms (<strong >Splunk Enterprise / Splunk ES preferred</strong>).</li> <li >Hands-on experience with SOAR platforms (Cortex XSOAR, Splunk SOAR, or similar).</li> <li >Hands-on experience with VPN technologies (IPSec / SSL VPN).</li> <li >Demonstrated experience in security monitoring and incident response.</li> <li >Strong understanding of cybersecurity operations, threat detection methodologies, and log analysis.</li> <li >Experience with ITIL Incident, Problem, and Change Management processes.</li> <li >Knowledge of SAMA Cybersecurity Framework, NCA ECC, PDPL, and NDMO is preferred.</li> <li >Basic scripting knowledge (Python, PowerShell, or similar) is preferred.</li> </ul> <h3 >Application Process</h3> <p >Candidates who meet the above qualifications are encouraged to apply.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We re looking for a Computer Vision Engineer to join a growing team building LiDAR-based perception systems real-world 3D sensing solutions that power physical products, not just demos. This is a hands-on role: you ll take vision and sensing systems from prototype to production, working closely with hardware and firmware teams to get sensors, calibration, and algorithms working together reliably in the field. What You ll Do Design, build, and deploy computer vision pipelines for real-time detection, tracking, or 3D reconstruction Work with camera and/or depth sensor data (RGB, depth cameras, LiDAR) calibration, synchronization, and data quality Optimize models and pipelines for edge deployment (latency, memory, compute constraints) Integrate vision systems with hardware/firmware teams to bring solutions from prototype to production Build and maintain inference services (e.g., containerized APIs) with clean CI/CD practices Debug field issues across the stack from sensor hardware quirks to model performance Document system architecture and processes clearly for cross-functional teams</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Must-haves: 3 5 years of experience in computer vision or applied ML engineering Strong Python skills; comfortable with OpenCV and standard CV/ML libraries Experience with real-time or near-real-time processing pipelines Solid Linux systems knowledge comfortable working outside a pure notebook/dev environment Experience deploying models to production (Docker, APIs, cloud or edge) Strong problem-solving instincts when things break in the real world, not just in code</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Drive the development and implementation of AI use cases across our organization. Lead the technical execution of high-impact projects, transforming business requirements into scalable AI features for both internal and external products. Operate with a high degree of autonomy, owning the full development lifecycle. Lead projects technically, set high architectural standards, and mentor others.</p><p>Key Responsiblities:</p><ul><li>Own the execution of AI initiatives from ideation and data preparation to deployment and scaling.</li><li>Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real-world automation and intelligence challenges.</li><li>Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real-world automation and intelligence challenges.</li><li>Design and manage efficient data flows and pipelines to ensure AI models are backed by robust, production-ready data.</li><li>Take ownership of the technical roadmap for specific use cases, ensuring best practices in code quality, system reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in computer science, artificial intelligence, IT or a similar field.</li><li>+3 years of professional experience in AI Engineering, Machine Learning, or a closely related software engineering field.</li><li>Proven expertise in Generative AI (LLMs, RAG, and prompt engineering).</li><li>Strong foundation in Traditional ML (classification, regression, and predictive analytics).</li><li>Expert proficiency in Python and experience with modern data science libraries.</li><li>Experience working within cloud ecosystems and data warehouses to manage large-scale datasets and orchestrate data flows.</li><li>A track record of moving projects from prototype to production, ensuring they are scalable and reliable for end-users.</li><li>Strong understanding of containerization (e.g., Docker) and AI deployment lifecycles is a significant advantage.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>

<h3 >About the Senior AI Engineer Role</h3> <p >Ejada is seeking a <strong >Senior AI Engineer</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to designing, developing, deploying, and optimizing advanced Artificial Intelligence solutions that drive business transformation and innovation initiatives. The successful candidate will provide technical leadership in implementing Machine Learning models, Large Language Models (LLMs), Agentic AI solutions, AI Operations (AIOps), and enterprise-scale AI platforms, ensuring scalability, reliability, security, and measurable business value.</p> <h3 >Core Responsibilities</h3> <ul > <li >Design, develop, and deploy AI and Machine Learning solutions to address business and operational challenges.</li> <li >Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and enterprise AI frameworks.</li> <li >Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and knowledge retrieval technologies.</li> <li >Develop Agentic AI solutions utilizing multi-agent frameworks and orchestration platforms.</li> <li >Build, maintain, and optimize APIs and backend services supporting AI-driven applications.</li> <li >Implement and manage AI model deployment, serving, monitoring, and lifecycle management processes.</li> <li >Establish MLOps and AIOps best practices to ensure reliable model delivery and operational excellence.</li> <li >Design and maintain scalable data pipelines, feature engineering workflows, and AI-ready data architectures.</li> <li >Optimize AI inference performance, model serving infrastructure, and resource utilization.</li> <li >Collaborate with business stakeholders, data engineers, architects, and technology teams to identify and implement AI use cases.</li> <li >Implement monitoring, observability, and evaluation frameworks to track AI model quality, performance, and reliability.</li> <li >Support cloud-native AI deployments and infrastructure across public cloud platforms.</li> <li >Provide technical guidance, mentorship, and knowledge sharing to engineering teams.</li> <li >Contribute to AI strategy, architecture standards, governance practices, and innovation initiatives.</li> </ul> <h3 >Minimum Qualifications</h3> <ul > <li >Bachelor's Degree in a relevant field.</li> <li >Professional certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Platforms.</li> </ul> <h3 >Required Experience</h3> <ul > <li >A minimum of <strong >5 years of experience</strong> in Artificial Intelligence, Machine Learning, Data Engineering, or Software Engineering.</li> <li >Proven experience in designing and deploying AI/ML solutions in enterprise environments.</li> <li >Hands-on experience with LLMs, Generative AI, RAG-based architectures, MLOps practices, and cloud platforms.</li> </ul> <h3 >Key Technical Skills</h3> <ul > <li >Proficiency in Python Programming, Advanced SQL, API Development, and integration.</li> <li >Expertise in Large Language Models (OpenAI, Azure OpenAI, Hugging Face), Retrieval-Augmented Generation (RAG), Vector Databases (Qdrant, Pinecone, Chroma), LangChain, LangGraph, and Multi-Agent Systems.</li> <li >Strong skills in Machine Learning, Advanced Analytics, Kubernetes, Docker, CI/CD Pipelines, MLOps, vLLM, Model Serving, and AI Inference Optimization.</li> <li >Experience with Data Engineering Tools (Airflow, Kafka, ETL Pipelines).</li> <li >Experience with Cloud Platforms (AWS, Microsoft Azure, Google Cloud Platform).</li> <li >Familiarity with AI Monitoring and Evaluation Tools (LangFuse, MLflow, Prometheus, Grafana).</li> <li >Knowledge of AI Platform Engineering, AIOps, Enterprise Data Management, and Data Architecture.</li> </ul> <h3 >Professional Competencies</h3> <ul > <li >Strong analytical and problem-solving capabilities.</li> <li >Excellent troubleshooting skills.</li> <li >Effective communication and stakeholder management abilities.</li> <li >Demonstrated technical leadership.</li> </ul>

<h3 >About the Role</h3> <p >TawanTech is seeking a <strong >Senior Data Engineer</strong> to join our team in Riyadh, Riyadh Province. This full-time role focuses on designing, developing, and optimizing scalable data platforms and pipelines specifically within the banking and financial services domain. The ideal candidate will possess strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems to build robust and secure data solutions.</p> <h3 >Role Contribution</h3> <p >As a Senior Data Engineer, you will be instrumental in creating scalable data solutions that directly support critical business functions. These include regulatory reporting, risk management, customer analytics, and various business intelligence initiatives. Your work will ensure data integrity, security, and compliance across all platforms.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li> <li >Build and optimize data workflows using Apache Spark and Apache Airflow.</li> <li >Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li> <li >Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li> <li >Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li> <li >Ensure data quality, governance, security, and regulatory compliance across data platforms.</li> <li >Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li> <li >Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li> <li >Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li> <li >Support regulatory reporting, audit requirements, and data lineage initiatives.</li> <li >Mentor junior engineers and contribute to technical architecture and best practices.</li> </ul> <h3 >Essential Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li> <li ><strong >4+ years</strong> of hands-on experience in Data Engineering.</li> <li >Strong programming skills in <strong >Python</strong> and advanced <strong >SQL</strong>.</li> <li >Experience with <strong >Apache Spark</strong> for large-scale data processing and <strong >Apache Airflow</strong> for workflow orchestration and scheduling.</li> <li >Solid understanding of Data Warehouse and Data Lake architectures.</li> <li >Proven experience building and maintaining ETL/ELT pipelines.</li> <li >Experience with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li> <li >Strong knowledge of data modeling techniques and performance optimization strategies.</li> <li >Experience implementing CI/CD pipelines and DataOps methodologies.</li> <li >Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li> <li >Excellent problem-solving, analytical, and communication skills.</li> </ul> <h3 >Desirable Skills and Experience</h3> <ul > <li >Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li> <li >Knowledge of financial data governance, security, and compliance standards.</li> <li >Experience with real-time and batch data processing in highly regulated environments.</li> <li >Familiarity with containerization technologies such as Docker and Kubernetes.</li> <li >Experience with data lineage, metadata management, and data quality frameworks.</li> </ul> <h3 >Work Setting</h3> <p >This is a full-time position based in Riyadh, offering an opportunity to contribute to significant data initiatives within the financial sector. Salary details will be discussed during the interview process.</p>

<h3 >About the Role</h3> <p >Jackson Green Recruitment is seeking a <strong >Principal Senior AI Research Engineer</strong> for a full-time position in Riyadh, Saudi Arabia. This is a frontier-level individual contributor role with a focus on advanced AI systems for energy. The successful candidate will join a Saudi technology and engineering company that develops advanced systems across artificial intelligence, energy, critical infrastructure, security, and industrial technology.</p> <h3 >Role Purpose and Scope</h3> <p >This position is designed to help establish and lead the technical direction of a frontier AI research program, specifically as a Principal AI Research Engineer specializing in Energy Systems. The role is distinct from conventional machine learning engineering, operating at the intersection of advanced research, scientific computing, energy-system intelligence, and large-scale AI engineering. The company is expanding its operations with a multidisciplinary AI laboratory in Europe, bringing together advanced AI researchers, mathematicians, energy specialists, AI engineers, and software developers.</p> <h3 >Key Responsibilities</h3> <ul > <li >Define and lead research programs at the intersection of artificial intelligence, applied mathematics, scientific computing, and energy systems.</li> <li >Develop novel architectures, algorithms, training strategies, and evaluation methodologies for complex energy and industrial problems.</li> <li >Research advanced approaches including physics-informed neural networks, graph neural networks, neural operators, probabilistic modelling, representation learning, reinforcement learning, control-aware learning, and foundation models for time-series and sensor data.</li> <li >Design scientifically rigorous experiments, benchmarks, ablation studies, and validation protocols.</li> <li >Translate successful research into reliable prototypes and production-grade AI systems.</li> <li >Lead and mentor AI research engineers, machine learning engineers, and supporting AI engineers.</li> <li >Help shape long-term AI research strategy, compute strategy, and technical roadmap.</li> </ul> <h3 >Required Experience and Skills</h3> <p >Candidates should possess over <strong >10 years of experience</strong> in a relevant field. The role requires the ability to investigate new AI methodologies, build experimental systems, and validate them against real-world energy data. A key aspect involves leading the transition of successful research into secure, production-grade solutions deployed on private GPU infrastructure. The Principal Senior AI Research Engineer will also serve as a technical leader, mentoring team members and setting scientific and engineering standards.</p> <h3 >Technical Environment</h3> <p >The technical stack is evolving, and the successful candidate will significantly influence its direction. Current technologies include:</p> <ul > <li >Programming languages and frameworks: Python, PyTorch , JAX.</li> <li >Data science libraries: NumPy, SciPy, Pandas, Polars, scikit-learn, XGBoost, LightGBM.</li> <li >Specialized AI tools: PyTorch Geometric or equivalent graph-learning frameworks, probabilistic programming, Bayesian modelling tools, optimization frameworks (*, Pyomo, CVXPY, OR-Tools).</li> <li >MLOps and infrastructure: MLflow for experiment tracking, model lineage, and registry management; Kubeflow Trainer and Kubeflow Pipelines.</li> <li >Development practices: Git, modern code-review workflows, CI/CD for AI and scientific-computing workloads, data and model versioning, automated evaluation, and regression testing.</li> </ul> <p >While not expected to have used every listed technology, candidates must demonstrate deep expertise in the underlying principles and the ability to rapidly evaluate and adopt appropriate tools.</p> <h3 >Work Type and Location</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia. The role requires a minimum of 10 years of relevant experience.</p>

<h3 >About the Role</h3> <p >Unified Real Estate Development Company is seeking an Artificial Intelligence Engineer to join its team in Riyadh, Saudi Arabia. This full-time individual contributor position involves designing and building central data infrastructure, integrating frontier Large Language Models (LLMs), and developing internal tools. The primary objective is to enable AI-powered analysis for non-technical staff, focusing on the implementation and integration of existing models rather than machine learning research or pure data engineering.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design and build central data infrastructure, such as ClickHouse or a data lake, to aggregate data from property management, leasing, finance, and operations systems.</li> <li >Integrate frontier LLMs (*, Claude, GPT-4) via API to serve as the reasoning and analysis layer over internal data.</li> <li >Build and maintain retrieval pipelines for intelligent selection, filtering, and delivery of relevant data to LLMs within context window constraints.</li> <li >Develop internal tools, dashboards, or interfaces that facilitate interaction with AI-powered analysis for non-technical staff.</li> <li >Implement data security, access controls, and compliance protocols to ensure appropriate handling of sensitive real estate and tenant data.</li> <li >Architect systems with modularity, allowing for swappable LLM providers, data sources, and tools as the technological landscape evolves.</li> <li >Monitor AI output quality and establish validation/feedback loops to mitigate hallucinations and errors.</li> <li >Stay informed on AI developments and proactively recommend new capabilities relevant to Unified’s operations.</li> <li >Document all systems, architectures, and processes thoroughly to minimize bus-factor risk.</li> </ul> <h3 >Required Qualifications</h3> <ul > <li >3–5 years of software engineering experience with strong proficiency in Python.</li> <li >Hands-on experience building applications that integrate with LLM APIs (*, Anthropic, OpenAI).</li> <li >Practical knowledge of data engineering, including ETL pipelines, SQL, and working with structured and semi-structured data at scale.</li> <li >Experience with at least one analytical database such as ClickHouse, PostgreSQL, BigQuery, or Snowflake.</li> <li >Understanding of retrieval-augmented generation (RAG) patterns, vector databases, and context management strategies.</li> <li >Familiarity with orchestration frameworks (*, LangChain, LlamaIndex, or custom equivalents).</li> <li >Ability to deploy and maintain production services, including Docker, cloud infrastructure, and CI/CD basics.</li> <li >Strong communication skills to explain technical constraints and trade-offs clearly to non-technical stakeholders.</li> </ul> <h3 >Preferred Qualifications</h3> <ul > <li >Experience in real estate, property management, or construction technology.</li> <li >Exposure to agent-based AI workflows and multi-step task orchestration.</li> <li >Experience with data visualization tools or building internal dashboards (*, Streamlit, Retool).</li> <li >Familiarity with Arabic language NLP or bilingual data environments.</li> <li >Previous experience working in small teams or startup-like environments with end-to-end project ownership.</li> </ul> <h3 >Role Scope and Focus</h3> <p >This position is an individual contributor role with high autonomy and direct impact. It is specifically focused on implementing and integrating existing frontier models, not on machine learning research or model training/fine-tuning. While it involves building data infrastructure, the primary goal is to power AI applications, not solely to maintain databases. This is not a management position.</p> <h3 >Work Environment</h3> <p >This role is based in Riyadh. The Artificial Intelligence Engineer will participate in weekly rotating meetings with various departments, including leasing, property management, finance, and operations, alongside an AI Analyst. These meetings aim to understand business needs and demonstrate progress. The work environment emphasizes a fast iteration cycle, with an expectation for working prototypes over lengthy planning phases.</p>

<p>In this role, you contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of senior engineers and technical leads. This is a role for someone early in their AI engineering career who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers.</p><p>In this role, you will:</p><ul><li>Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components.</li><li>Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs.</li><li>Implement features, components, and integrations under the guidance of senior engineers, maintaining code quality and adherence to engineering standards.</li><li>Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements.</li><li>Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge.</li><li>Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability.</li><li>Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing.</li><li>Demonstrate a proactive learning mindset staying current with AI/ML developments and applying new techniques and tools to improve solution quality.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment.</p><p>Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services.</p><p>Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts.</p><p>Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability.</p><p>Curiosity, adaptability, and a growth mindset you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment.</p><p>Basic understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines.</p><p>Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings.</p><p>An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.</p>

<p>We are looking for a Senior Data and infrastructure Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights. If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.</p><p>Responsibilities</p><ul><li>Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business.</li><li>Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization.</li><li>Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing.</li><li>Support analytical and machine learning workflows by providing reliable and well-structured datasets.</li><li>Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., PostgreSQL, MySQL, Google Analytics, BigQuery, Google Ads, Adjust, and others).</li><li>Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards.</li><li>Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions.</li><li>Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem.</li><li>Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field.</p><p>Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools</p><p>Should be able to deploy applications using docker on bare metal servers.</p><p>Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline.</p><p>Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization.</p><p>Experience designing and maintaining data warehouse architectures.</p><p>Hands-on experience with columnar databases and performance optimization techniques.</p><p>Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow.</p><p>Solid programming skills in Python or Java, with a preference for Python.</p><p>Good understanding of Linux environments and scripting (Bash).</p><p>Experience with modern cloud-based data platforms and analytical databases such as ClickHouse, StarRocks, or similar technologies.</p><p>Have experience working s3 compatible open source solution and managed solutions.</p><p>Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing.</p><p>Strong communication skills in English.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>