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
- 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
📌 Data engineer Lead - Apache NiFi Mandatory (Maharashtra)
🏢 EdgeVerve Systems
📍 Maharashtra
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