Azure Data Engineer
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Description
- Strong hands-on experience with Azure Data Factory (ADF), Azure Databricks, Python, PySpark, SQL, and Azure cloud services.
- Expertise in developing scalable data ingestion, transformation, and orchestration pipelines using Databricks and Apache Airflow.
- Experience implementing Medallion Architecture (Bronze, Silver, Gold), Delta Lake, and reusable data engineering frameworks.
- Develop reusable Databricks notebooks, data transformation components, orchestration workflows, and automated data quality checks.
- Strong experience with Azure DevOps, Git, CI/CD pipelines, and automated deployment processes.
- Experience with Spark performance tuning, pipeline troubleshooting, data reconciliation, and workload optimization.
- Knowledge of data governance, metadata management, Unity Catalog, and enterprise data engineering best practices.
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