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ETL Data Engineer with Min 15+ Yrs Exp in Extract - Transform - Load (ETL) Processes, including End - to - End Pipelines with Data Loading from Multiple Sources Webcam Interview (ONSITE, Local to DMV Area)
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Full-time
- The Enterprise Data team requires an ETL data engineer to support data operations for its Cloud Data Exchange.
- The ETL data engineer will support the Enterprise Data team for data curation, processing, and transformation tasks.
- Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
- Establishing the cloud and on-premise connectivity in different systems like ADLS, ADF, Synapse, Databricks
- Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow)
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