Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
Integrate data from databases, Amazon S3, files, and REST APIs.
Build data pipelines with Databricks Unity Catalog and Delta Lake.
Manage Delta Lake tables with Medallion Architecture (Bronze, Silver, Gold).
Create, schedule, monitor, and optimize Databricks Jobs and Workflows.
Collaborate with cross-functional teams to deliver production-ready data solutions.

🎯 Requirements

Strong expertise in Python, PySpark, and Advanced SQL.
Hands-on with Databricks Lakehouse Platform; Unity Catalog, Delta Lake, Workflows/Jobs, Clusters
Experience with REST APIs for data ingestion/export; ETL/ELT development; batch processing; data
Knowledge of data warehousing concepts, structured/semi-structured data (CSV, JSON, Parquet
Git and CI/CD best practices.

🎁 Benefits

Competitive salary with strong insurance package.
Growth opportunities and extensive learning resources.

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