Jobs → Data & Analytics → Databricks Engineer

About the Role We are looking for an experienced Senior Databricks Engineer to join our team. This role focuses on designing and implementing scalable enterprise-level data engineering solutions using Databricks and related technologies. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark • Build and optimize ETL/ELT workflows using PySpark and Python • Develop solutions using Databricks Lakehouse architecture • Work with Delta Lake, Delta Live Tables (DLT), and Unity Catalog • Implement data ingestion, transformation, and integration processes • Optimize Spark jobs for performance and cost efficiency • Work with AWS, Azure, or GCP cloud platforms • Implement data quality, governance, security, and monitoring • Troubleshoot complex data engineering and production issues Requirements • 8–10+ years of Data Engineering experience • Strong hands-on experience with Databricks • Expertise in Apache Spark, PySpark, and Python • Strong SQL and data modeling skills • Hands-on experience with Delta Lake and Delta Tables • ETL/ELT pipeline development • Databricks Workflows and Delta Live Tables (DLT) • AWS / Azure / GCP • CI/CD, Git, and DevOps practices • Data Lake and Lakehouse architecture