Jobs → Data & Analytics → Senior Data Engineer – Databricks

About the Role We are actively looking for an experienced Senior Data Engineer with strong hands-on expertise in Databricks ETL, PySpark, SQL, Lakeflow, and Streaming Data Pipelines, preferably with recent Banking or Financial Services domain experience. Key Responsibilities • Architect, design, and develop scalable Databricks ETL pipelines • Implement Lakeflow Connect, Auto Loader, and Lakeflow Declarative Pipelines • Build real-time data processing solutions using Spark Structured Streaming • Design Delta Lake solutions following Medallion Architecture principles • Optimize Databricks workloads for performance, scalability, and cost efficiency • Implement Unity Catalog, data governance, automated testing, and CI/CD standards • Lead technical discussions, mentor engineers, and own end-to-end delivery • Collaborate with stakeholders to translate business requirements into technical solutions Requirements • 8+ years of Data Engineering experience • 5+ years of hands-on Databricks production experience • Strong expertise in PySpark, SQL, Delta Lake, and ETL architecture • Practical experience with Lakeflow, Auto Loader, and Structured Streaming • Experience designing scalable enterprise data platforms • Banking / Financial Services domain experience preferred • Strong technical leadership, ownership, and communication skills • Databricks Professional Certification is a plus