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