Technical Data Engineer (Databricks)

📋 Description

• 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.