5+ years of experience in Data Engineering or related fields. • Solid hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration). • Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques). • Robust proficiency in Python for data processing, automation, and framework development. • Strong proficiency in SQL, including complex queries, performance tuning, and analytical functions. • Strong knowledge of Databricks Genie and leveraging it for engineering workflows. • Solid experience with CI/CD and Git-based development workflows. • Proficiency in data modeling and ETL/ELT pipeline design. • Experience with automation frameworks and scheduling tools. • Solid understanding of distributed systems and big data concepts