Junior Data Engineer

We are seeking a skilled and motivated Data Engineer to join our team, with deep hands-on experience building and optimizing data pipelines and lakehouse solutions in Databricks. In this role, you will collaborate with cross-functional teams to design, develop, and operate scalable, reliable data products that drive business value.

Key ResponsibilitiesDesign, build, and maintain batch and streaming data pipelines using Databricks (Spark, Delta Lake, Jobs/Workflows).Partner with data scientists, analysts, and application teams to deliver trusted, well-modeled data sets and features in the Databricks Lakehouse.

Optimize Spark jobs (partitioning, caching, join strategies) and Databricks cluster configurations for performance, scalability, and cost.

Implement data quality checks, observability, governance, and security controls (e.g., Unity Catalog, access policies) within Databricks.

Troubleshoot and resolve pipeline failures, data issues, and production incidents; perform root-cause analysis and implement preventative improvements.