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Group Head - Data Engineer - Mumbai

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Onsite

Group Head - Data Engineer - Mumbai

Hudson Manpower

Group Head - Data Engineer - Mumbai

Skills

SQL QueriesBig DataData EngineeringAWSProcess Improvement

8 months ago

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Important information


Contract type:

Permanent

Location:

Maharashtra, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


  • Take ownership of the technical aspects of implementing data pipeline & migration requirements, ensuring that the platform is being used to its fullest potential through designing and building applications around business stakeholder needs.
  • Interface directly with stakeholders to gather requirements and own the automated end-to-end data engineering solutions.
  • Implement data pipelines to automate the ingestion, transformation, and augmentation of both structured, unstructured, real time data, and provide best practices for pipeline operations
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
  • Troubleshoot and remediate data quality issues raised by pipeline alerts or downstream consumers.
  • Implement Data Governance best practices. Comprehensive knowledge of Functional and technical impact analysis.
  • Provide advice and ideas for technical solutions and improvements to data systems
  • Create and maintain clear documentation on data models/schemas as well as transformation/validation rules
  • Implement tools that help data consumers to extract, analyse, and visualize data faster through data pipelines
  • Leading the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for batch ETL's.
  • Work directly with our internal product/technical teams to ensure that our technology infrastructure is seamlessly and effectively integrated Migrate current data applications & pipelines to Cloud (AWS) leveraging PaaS te

7 to 12+ years of hands-on experience in SQL database design, data architecture, ETL, Data Warehousing, Data Mart, Data Lake, Big Data, Cloud (AWS) and Data Governance domains.

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