Jobs → Data & Analytics → Databricks Engineer

About the Role We are looking for an experienced Databricks Engineer to join our team and build scalable, secure, and high-performance data engineering solutions using the Databricks Data Intelligence Platform. Key Responsibilities • Build scalable, secure, and high-performance data engineering solutions using the Databricks Data Intelligence Platform • Design and implement batch and streaming ETL/ELT pipelines • Work with Delta Lake, Unity Catalog, Lakeflow Jobs, and Lakeflow Spark Declarative Pipelines • Implement Medallion Architecture (Bronze, Silver, Gold), dimensional modeling, and SCD Type 1/Type 2 • Lead technical design discussions, conduct code reviews, and mentor engineers Requirements • 10+ years of experience in Data Engineering, Data Analytics, or Data Warehousing • 5+ years of hands-on experience with Databricks in production environments • 5+ years of experience with Python, PySpark, and Spark SQL • 3+ years of experience with Microsoft Azure data services, including ADLS Gen2, Azure Data Factory, Key Vault, and Microsoft Entra ID • Strong experience building batch and streaming ETL/ELT pipelines • Expertise in Delta Lake, Unity Catalog, Lakeflow Jobs, and Lakeflow Spark Declarative Pipelines • Experience with Medallion Architecture (Bronze, Silver, Gold), dimensional modeling, and SCD Type 1/Type 2 • Hands-on experience with CI/CD using Azure DevOps or GitHub Actions • Strong skills in performance optimization, data governance, troubleshooting, and pipeline monitoring Preferred Qualification • Databricks Certified Data Engineer Professional