Lead Data Engineer – PySpark & Databricks

Experience:- 8-10 Years<br /> Work Type- Hybrid Duration:6-12 Months<br /> <b>Shift Timing:</b> 1:00 PM 10:00 PM <br /> <br /> Job Locations:--Bengaluru, India / Pune, India / Noida, India / Gurgaon, India <div> <div> Skills Required <div> Primary Skills <div>PySpark and Databricks</div> </div> </div> <div> Job Description <div> <b>Shift Timing:</b> 1:00 PM 10:00 PM<br /> <br /> Key Responsibilities A. Data Engineering & Pipeline Development <p> Design, develop, and optimize large-scale ETL/ELT pipelines using PySpark on Databricks, processing structured and unstructured data at scale.</p> <p> Build and maintain Lakehouse architecture (Bronze/Silver/Gold medallion layers) using Delta Lake, ensuring reliability, scalability, and schema evolution support.</p> <p> Develop reusable, parameterized, metadata-driven pipeline fra...