About this role
Experience: 6.5 –10 Years Location: P1: Bangalore (Hybrid); P2: Pune/Chennai Role Summary We are looking for a Senior / Lead Data Engineer to design, build, and scale data pipelines and integration solutions for our Edge Services division . The role requires strong hands-on expertise in modern data engineering, cloud platforms, and enterprise data integrations, along with the ability to lead technical design and mentor teams. Key Responsibilities Design and lead development of ETL/ELT data pipelines Build and manage API integrations using Python Work with big data technologies (Trio, Iceberg, DuckDB, Parquet) Design and optimize databases, data models, and data warehouses Enable analytics using Superset, Power BI , and SQL Ensure data governance, quality, and reliability Drive enterprise data integration using iPaaS tools Provide technical leadership and guide junior engineers Required Skills Strong hands-on experience in Data Engineering Python , advanced SQL Big data & modern storage formats (Iceberg, Parquet, DuckDB) Experience with cloud platforms (AWS / Azure / GCP) Analytics & BI tools ( Superset, Power BI ) iPaaS tools: IBM Sterling, MuleSoft, Dell Boomi Knowledge of data governance, quality frameworks Nice to Have Edge / near-real-time data processing experience Streaming or distributed systems exposure Experience leading data engineering teams Why Join Us Work on edge-scale, enterprise-grade data platforms High visibility and ownership Opportunity to influence architecture & strategy