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 up-to-date 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 & contemporary 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 Chance to influence architecture & strategy

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Product Integration Analyst Bengaluru (India)
🏢 EdgeVerve Systems
📍 India