Overview

We are hiring a Databricks Data Engineer to design, build, and operate scalable data pipelines and curated data products on Databricks. You will work across ingestion, transformation, governance, and delivery layers—using SQL, Python, and PySpark while applying strong data warehousing principles (Kimball). This role requires hands-on experience with Databricks platform capabilities, including Unity Catalog and Lakeflow Declarative Pipelines, and a disciplined approach to quality using validation/expectations.

Responsibilities

• Build and maintain production-grade data pipelines in Databricks using SQL, Python, and PySpark.
• Implement ELT/ETL patterns for batch and (where relevant) streaming data processing.
• Develop and maintain Lakehouse data models and curated datasets aligned with DWH best practices (Kimball/Inmon/Data Vault).
• Use Databricks-native capabilities to implement robust, maintainable pipelines (e.g., Lake...