- Hands-on experience in developing, maintaining, and optimizing data pipelines using Databricks.
- Knowledge of ETL/ELT pipelines, data ingestion, transformation, and orchestration.
- Exposure to data lake, data warehouse, or lakehouse architectures.
- Experience with data migration, integration, and automation.
- Collaboration with senior engineers, architects, and analytics teams for solution delivery.
- Familiarity with security, access control, and compliance best practices.
Working experience in Agile and DevOps environments.