Role: Databricks Data Engineer

- Location: USA

Key Responsibilities:

- Design and maintain batch/streaming data pipelines using Databricks, Spark, SQL, and Python.

- Build ETL/ELT workflows to ingest and transform data into data lakes or warehouses.

- Optimize pipeline performance and cost efficiency across Azure, AWS, or GCP.

- Ensure data quality and integrity through rigorous testing and monitoring.

- Implement data governance, security practices, and Unity Catalog support.

- Collaborate with teams to deliver curated datasets for analytics and dashboards.

- Document technical designs and support production deployments.