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Job Description
Build and manage scalable data pipelines using Databricks and support Data Fabric architecture for seamless data integration.
Experience: 5–8 years
Key Responsibilities
- Develop ETL/ELT pipelines using Databricks (PySpark)
- Design Data Fabric solutions for unified data access
- Implement Delta Lake / Lakehouse architecture
- Handle batch & real-time data processing
- Ensure data quality, governance, and performance
Skills Required
- Databricks, Spark, Python, SQL
- Data Fabric concepts (integration, governance)
- Cloud: Azure/AWS/GCP (Azure preferred)
- Delta Lake, Data Modeling
- Tools: ADF / Airflow
Good To Have
- Microsoft Fabric, Kafka/Event Hubs
- Databricks / Azure certifications
