Devsinc jobs

<p>Responsibilities</p><p>Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery.</p><p>Build, schedule, and orchestrate production-grade data workflows using Apache Airflow .</p><p>Develop distributed data-processing jobs using Apache Spark .</p><p>Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development.</p><p>Develop and optimize complex SQL queries for data transformation, analysis, and quality validation.</p><p>Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets.</p><p>Implement Redis for caching, high-performance data access, and data-intensive application requirements.</p><p>Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources.</p><p>Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability.</p><p>Optimize pipeline performance, data storage, processing time, and infrastructure costs.</p><p>Develop reusable data-ingestion and transformation frameworks instead of one-off scripts.</p><p>Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution.</p><p>Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets.</p><p>Establish and maintain data-engineering standards, technical documentation, and development best practices.</p><p>Preferred Qualification</p><p>Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP .</p><p>Experience working with PostgreSQL , data warehouses, or analytical databases.</p><p>Experience processing geospatial data or large-scale location-based datasets.</p><p>Familiarity with DuckDB, Apache Sedona, Trino, Presto , or similar analytical technologies.</p><p>Experience processing high-volume event, mobility, transactional, or geospatial data.</p><p>Familiarity with CI/CD pipelines and infrastructure-as-code practices.</p><p>Experience supporting data products, analytics platforms, or AI/ML pipelines .</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Data Science , or a related field.</p><p>4 6 years of professional experience in Data Engineering or a closely related role.</p><p>Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines .</p><p>Strong proficiency in Python for data processing, automation, and data-engineering workflows.</p><p>Advanced SQL skills and a strong understanding of relational databases.</p><p>Practical production experience with Apache Airflow for workflow orchestration.</p><p>Hands-on experience with Apache Spark and distributed data processing.</p><p>Strong understanding of data modelling, transformation patterns, and data-pipeline architecture.</p><p>Experience with Redis , caching strategies, and high-performance data-access patterns.</p><p>Experience processing large datasets and optimizing pipeline and query performance.</p><p>Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability.</p><p>Familiarity with Linux, Git, Docker/containers , and modern software-engineering practices.</p><p>Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.</p>

Devsinc is looking for a highly skilled <strong>Senior Data Engineer with 4-6 years of professional experience</strong> to design, build, and maintain scalable data pipelines and processing systems that support analytics, data products, and AI/ML capabilities.<br><br>The ideal candidate will have strong hands-on experience with <strong>ETL/ELT pipelines, Python, SQL, Apache Airflow, Apache Spark, and Redis</strong>, along with the ability to develop reliable and maintainable workflows for large, complex, and continuously growing datasets. You will collaborate with Product, Business Intelligence, Data Science, and Engineering teams to deliver production-ready datasets and high-performance data solutions.<br><br><strong>Responsibilities<br><br></strong><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery. </li><li>Build, schedule, and orchestrate production-grade data workflows using Apache Airflow. </li><li>Develop distributed data-processing jobs using Apache Spark. </li><li>Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development. </li><li>Develop and optimize complex SQL queries for data transformation, analysis, and quality validation. </li><li>Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets. </li><li>Implement Redis for caching, high-performance data access, and data-intensive application requirements. </li><li>Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources. </li><li>Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability. </li><li>Optimize pipeline performance, data storage, processing time, and infrastructure costs. </li><li>Develop reusable data-ingestion and transformation frameworks instead of one-off scripts. </li><li>Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution. </li><li>Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets. </li><li>Establish and maintain data-engineering standards, technical documentation, and development best practices. <br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. </li><li> 4-6 years of professional experience in Data Engineering or a closely related role. </li><li> Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines. </li><li> Strong proficiency in Python for data processing, automation, and data-engineering workflows. </li><li> Advanced SQL skills and a strong understanding of relational databases. </li><li> Practical production experience with Apache Airflow for workflow orchestration. </li><li> Hands-on experience with Apache Spark and distributed data processing. </li><li> Strong understanding of data modelling, transformation patterns, and data-pipeline architecture. </li><li> Experience with Redis, caching strategies, and high-performance data-access patterns. </li><li> Experience processing large datasets and optimizing pipeline and query performance. </li><li> Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability. </li><li> Familiarity with Linux, Git, Docker/containers, and modern software-engineering practices. </li><li> Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. <br><br></li></ul><strong>Preferred Qualification<br><br></strong><ul><li> Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP. </li><li> Experience working with PostgreSQL, data warehouses, or analytical databases. </li><li> Experience processing geospatial data or large-scale location-based datasets. </li><li> Familiarity with DuckDB, Apache Sedona, Trino, Presto, or similar analytical technologies. </li><li> Experience processing high-volume event, mobility, transactional, or geospatial data. </li><li> Familiarity with CI/CD pipelines and infrastructure-as-code practices. </li><li> Experience supporting data products, analytics platforms, or AI/ML pipelines</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Sales/Growth Manager will be responsible for driving business development and sales across KSA, focusing on IT and bespoke engineering services.<br> This individual will manage the full sales cycle, from identifying new leads to closing deals and nurturing long-term client relationships.<br> The role requires a self-driven, customer-focused individual with a track record of exceeding sales targets in the IT and software engineering sectors.<br> Responsibilities: Sales Strategy &amp; Growth: Develop and execute sales strategies to drive revenue growth in KSA market.<br> Client Acquisition: Identify and engage potential clients through networking, lead generation, and referrals, focusing on industries requiring IT and bespoke engineering solutions.<br> Relationship Management: Build and maintain strong relationships with key decision-makers, ensuring client needs are understood and met through tailored service offerings.<br> Market Expansion: Expand the company’s presence in the target regions by identifying emerging market trends and adapting sales strategies accordingly.<br> Proposal Development: Prepare proposals, presentations, and sales pitches that effectively communicate the value of our services.<br> Collaboration: Work closely with internal teams (delivery, engineering, marketing) to ensure seamless project execution and client satisfaction.<br> Performance Metrics: Monitor and report on key performance indicators, including revenue growth, sales cycle progress, and client retention rates.<br> Negotiation &amp; Closing: Lead negotiations with prospective clients, securing deals that align with company goals and client expectations.<br> Travel: Travel within KSA for client meetings and industry events as required.<br> Requirements Bachelor’s/master’s degree in business, Marketing, Software Engineering, or a related field.<br> 5+ years of experience in sales/business development, preferably within IT or bespoke engineering services.<br> Experience of selling business solutions like Microsoft Dynamics and Salesforce will be a plus.<br> Proven track record of meeting or exceeding sales targets in the KSA region.<br> Strong knowledge of KSA market, including key industry players and trends.<br> Excellent communication, negotiation, and presentation skills.<br> Ability to work independently while being an integral part of a cross-functional team.<br> Proficiency in CRM software and sales automation tools.<br> Willingness to travel across the assigned regions.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 5+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Senior Legal Counsel with a strong background in technology contracts, data privacy, and intellectual property to join our Legal &amp; Compliance team.<br> The ideal candidate brings hands-on expertise advising on SaaS agreements, GDPR/CCPA compliance, open-source licensing, and M&amp;A transactions within complex, cross-cultural corporate environments.<br> This role requires a commercially minded attorney who can translate complex legal risks into clear, actionable business guidance.<br> Technology Contracts &amp; Commercial Agreements • Draft, review, and negotiate a broad portfolio of technology-related agreements including SaaS, EULAs, Master Service Agreements, Software Licensing, Cloud Agreements, OEM, and Joint Development Agreements.<br> • Lead commercial contract negotiations with enterprise clients, vendors, data providers, and resellers, ensuring favorable and risk-appropriate terms.<br> • Review and evaluate RFP terms and conditions; advise business teams on legal and contractual risk, offering practical mitigation strategies.<br> • Revamp and maintain contract templates, playbooks, and standard operating procedures for the legal team.<br> Data Privacy &amp; Compliance • Lead implementation and ongoing management of the company's Data Governance Framework, including policies, notices, and agreement amendments.<br> • Manage the Data Protection Officer (DPO) function, serving as the primary privacy liaison internally and with regulators.<br> • Drive GDPR, CCPA/CPRA, and HIPAA compliance programs across the organization, including training, data subject request handling, and breach response.<br> • Align data protection practices with industry frameworks such as ISO 27001, NIST, and SOC standards.<br> Intellectual Property &amp; Open-Source Compliance • Advise on IP strategy for new product releases, including patent analytics and IP checklist reviews.<br> • Provide counsel on open-source software licensing compliance (GPL, LGPL, MIT, BSD, Apache) for use, contribution, and acquisition scenarios.<br> • Manage trademark matters including classification searches and infringement case support.<br> M&amp;A &amp; Strategic Transactions • Support due diligence and risk assessment for mergers, acquisitions, and strategic partnerships.<br> • Identify and mitigate legal risks through representations, warranties, indemnities, and protective contractual mechanisms.<br> • Collaborate with external counsel on cross-border transactions and regulatory matters.<br> Education • LLB or equivalent law degree from a recognized institution; postgraduate or specialization in IP or technology law is a strong advantage.<br> • Certified Information Privacy Professional (CIPP-US, CIPP/E, or equivalent) from IAPP is highly preferred.<br> Experience • Minimum 6–8 years of post-qualification experience (PQE) in technology law, with at least 3 years in an in-house corporate legal role.<br> • Proven track record working with Fortune 500 / large conglomerate companies in cross-cultural and multi-jurisdictional environments.<br> • Demonstrated experience in contract negotiation for complex, high-value technology deals.<br> • Hands-on experience implementing data privacy programs under GDPR, CCPA/CPRA, and HIPAA.<br> Skills &amp; Competencies • Deep expertise in software licensing, SaaS contracting, and cloud computing agreements.<br> • Strong knowledge of open-source compliance frameworks and OSS license obligations.<br> • Ability to manage external counsel effectively, including budget and matter oversight.<br> • Excellent written and verbal communication skills with the ability to present complex legal issues in plain business language.<br> • Strong analytical, negotiation, and problem-solving skills with a commercial orientation.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>