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 contemporary 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
Solid 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
Opportunity to influence architecture & strategy
📌 Data Engineer Lead Apache Nifi Mandatory Maharashtra (India)
🏢 EdgeVerve Systems
📍 India
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