About this role
. Design, develop, and optimize ETL/ELT pipelines using PySpark, Python, and SQL. • Architect and implement data warehouse solutions on Cloud platforms (AWS, Azure, GCP). • Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions. • Learn and work extensively with in-house data tools and frameworks, contributing to their enhancement and integration. • Ensure data quality, governance, and security across all data assets. • Mentor junior engineers and promote best practices in data engineering. • Drive performance tuning, cost optimization, and automation of data workflows. • Participate in Agile ceremonies, code reviews, and technical design discussions.