TECHNICAL LEAD - Databricks

Design and build scalable data pipelines and algorithms using PySpark on Databricks and AWS, enabling large-scale distributed data processing. Responsible for developing ETL/ELT pipelines, managing infrastructure, monitoring, and data governance while collaborating with cross-functional teams to deliver high-performance data engineering solutions.