Summary from listing
The Data Engineer will design and implement data pipelines and ETL workflows using Azure Data Factory, Databricks, and related tools; optimize storage and retrieval; collaborate with data scientists, analysts, and business stakeholders; ensure data security, compliance, and governance; monitor and troubleshoot workflows; and work in Agile/Scrum teams. The role requires expertise in SQL, Python, and Spark, experience with data modeling, data warehousing, and big data technologies, familiarity with CI/CD, DevOps, and Git, strong analytical and communication skills, and the ability to mentor junior developers.
