Senior Data Engineer

<div><p>We are looking for a skilled Senior Data Engineer to modernize and build scalable data pipelines using a modern data stack. Youwill transform legacy ETL systems into efficient, production-grade workflows while ensuring data quality, reliability, and performance. Thisrole focuses on building robust, maintainable pipelines and enabling data-driven decision-making across the organization.</p><h3><b>Qualifications</b></h3><ul><li>5+ years of experience in Data Engineering or ETL development</li><li>Strong expertise in Python and SQL (advanced queries, optimization)</li><li>Experience designing and maintaining ETL/ELT pipelines</li><li>Hands‑on experience with orchestration tools (Airflow, Dagster, etc.)</li><li>Experience with modern data tools (dbt, Kafka, Apache NiFi)</li><li>Strong understanding of data modeling (star/snowflake schemas)</li><li>Experience with CI/CD, version control, and testing in data workflows</li></ul><h3>Responsibilities</h3><ul><li>Migrate legacy ETL pipelines (Talend) to modern tools like Python, dbt, and Airflow</li><li>Build and maintain scalable data ingestion and processing pipelines</li><li>Implement data validation, transformation, and quality checks</li><li>Monitor pipelines, troubleshoot issues, and optimize performance</li><li>Collaborate with cross‑functional teams (QA, analysts, architects)</li><li>Maintain clear documentation for pipelines and data workflows</li></ul><h3>Must Have</h3><ul><li>Strong Python and SQL coding skills (production-level)</li><li>Experience with data pipeline orchestration and automation</li><li>Hands‑on experience with batch and streaming data systems</li><li>Strong debugging, troubleshooting, and root cause analysis skills</li><li>Ability to build scalable, reliable, and maintainable data systems</li></ul><h3>Nice to have</h3><ul><li>Experience with Databricks, Spark, and Delta Lake</li><li>Familiarity with Kafka and real‑time data streaming</li><li>Experience with data quality frameworks and governance</li><li>Understanding of data lineage, partitioning, and incremental models</li><li>Experience working in Agile environments</li></ul><h3>What's great in the job?</h3><ul><li>Opportunity to work with advanced AWS and PostgreSQL technologies</li><li>A role that directly impacts system scalability and performance</li><li>Collaborative environment with experienced engineers from top institutions</li><li>Exposure to compliance-driven development for global standards</li></ul></div>#J-18808-Ljbffr