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Data Engineer

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Hybrid

Data Engineer

Engie

Data Engineer

Skills

DatabricksAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

24 August 2026

What they need


Key Accountabilities

A. Data Product Delivery DIP Program

  • Contribute to the delivery of data products within the scope of the Group DIP program, in line with its roadmap and priorities.
  • Build end-to-end data pipelines and products on the Group platform (AWS, Databricks).
  • Ingest data from multiple sources, including business systems, applications, and SharePoint.
  • Implement data storage, transformation, quality, and consumption layers.
  • Ensure alignment with the technical and governance standards of the Group Data Platform.

B. DIP Use Case Execution

  • Take ownership of concrete use cases identified within the DIP program's scope.
  • Contribute specifically to data products related to the organizational referential (EGOR) and the internal needs of Group Digital & IT.
  • Support the upskilling of GBUs by delivering structured and well-documented data assets.

C. Industrialization & Reusability

  • Design reusable technical templates to accelerate the delivery of future DIP data products.
  • Apply DataOps practices and ensure the production readiness of delivered solutions.
  • Contribute to the evolution of platform standards and patterns within the program's framework.

D. Collaboration & Agile Delivery

  • Work in close coordination with Product Owners, platform teams, and the Data Office, and the France-based team in a global delivery model.
  • Operate in an Agile mode, participating in sprints, ceremonies, reviews, and a continuous improvement process.

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