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Cummins

Data Engineer 1

Location
Pune
Work mode
Hybrid
Experience
Freshers (0–1 yrs)
Pay
₹6–10 LPA (Est.)
Type
Full-time job, Developer
Added
12 November 2026
Apply by
14 December 2026

About this role

This Pune-based role supports Cummins' enterprise data and analytics platform, which makes data available to analysts and other users. The engineer builds and maintains data pipelines, transformations and curated datasets that serve reporting, analytics, automation and GenAI use cases across areas such as Supply Chain, Quality, Finance and Product Lifecycle. Daily work includes ingesting data from relational, event-based and unstructured sources, monitoring data quality, and testing and troubleshooting pipelines. The team follows a Data-as-a-Product approach, so datasets are expected to be reusable and governed, with metadata and lineage. The person works with product managers, data scientists and solution engineers in Agile teams. It suits early-career graduates with internship or coursework exposure to big data, SQL and cloud data tools.

Cummins is hiring for Data Engineer 1, a full-time role based in Pune (hybrid).

Who can apply: Freshers (0–1 yrs). Skills: SQL, Spark, Kafka, Hive, ETL/ELT, Data modelling.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Build and maintain data pipelines, transformations and curated datasets for analytics and GenAI use cases
  • Ingest and transform data from relational, event-based and unstructured sources
  • Monitor and troubleshoot data quality and integrity issues
  • Develop physical data models and storage solutions on distributed and cloud platforms
  • Apply data governance practices for metadata, lineage, access and retention
  • Collaborate with product managers, data scientists and engineers in Agile teams

What you need

  • Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience
  • Experience with ETL/ELT, data integration and data pipelines on modern or cloud data platforms
  • Working knowledge of SQL, data modeling, data quality and data governance
  • Ability to translate business requirements into scalable technical solutions
  • Experience working in Agile, cross-functional teams
  • May require licensing for export control or sanctions compliance

Skills

  • SQL
  • Spark
  • Kafka
  • Hive
  • ETL/ELT
  • Data modelling

"Est." = Hirastra's estimate based on market data, not an official figure.

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