<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Job Description:</p><p> Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.</p><p> Integrate data from multiple sources, ensuring consistency, reliability, and data quality.</p><p> Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.</p><p> Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.</p><p> Monitor and troubleshoot data systems to ensure performance, security, and efficiency.</p><p> Document data processes, system configurations, and best practices.</p><p>Requirements:</p><p> Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.</p><p> Proven experience with SQL, Python, and data pipeline frameworks.</p><p> Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).</p><p> Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.</p><p> Excellent problem-solving, analytical, and communication skills.</p><p> Ability to work both independently and collaboratively in a fast-paced environment.</p><p>Benefits:</p><p> Competitive salary and performance-based incentives.</p><p> Opportunities for professional development and technical training.</p><p> Innovative and collaborative work culture.</p><ul><li> Flexible or hybrid working arrangements.</li></ul> </div>