Design, build, and optimize scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and lakehouse architecture. Collaborate with analytics, product, and engineering teams while developing batch and streaming workflows, integrating data warehouse systems, and using cloud platforms and orchestration tools such as Azure, Airflow, ADF, or Prefect.
This is a remote position.
We are looking for a Data Engineer with strong experience in Databricks, PySpark, and modern Data Warehouse systems. The ideal candidate can design, build, and optimize scalable data pipelines and work closely with analytics, product, and engineering teams.
Requirements
- Strong hands-on skills in Databricks, PySpark, and SQL
- Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines
- Solid understanding of Delta Lake and Lakehouse architecture
- Experience with at least one cloud platform (Azure preferred)
- Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.)
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