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Data Engineer (GCP) - VOIS

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Vodafone

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Location:
India , Pune

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Category:
IT - Software Development

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Salary:

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Job Description:

We are seeking a skilled Data Engineer to design, build and maintain scalable data pipelines and ETL processes using Google Cloud Platform (GCP). The role focuses on delivering high-quality, reliable data solutions by collaborating with cross-functional teams, ensuring data integrity, optimising performance, and supporting analytics and reporting in a fast-paced and evolving environment.

Job Responsibility:

  • Design, develop and maintain scalable data pipelines and ETL processes using GCP services including BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Functions and Cloud Run
  • Collaborate with data scientists, analysts and business stakeholders to understand data requirements and deliver robust data solutions
  • Implement data integration solutions to ingest, process and store structured and unstructured data from multiple sources
  • Optimise and tune data pipelines for performance, reliability and cost efficiency
  • Ensure data quality through validation, cleansing and transformation processes
  • Develop and maintain data models, schemas and metadata to support analytics and reporting needs
  • Monitor, troubleshoot and resolve data pipeline issues to minimise disruption
  • Stay current with GCP technologies and best practices, recommending improvements where appropriate
  • Mentor junior data engineers and promote a collaborative, knowledge-sharing culture

Requirements:

  • Hold a Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field
  • Experienced with SQL and NoSQL databases
  • Knowledgeable in data warehousing concepts and industry best practices
  • Familiar with data integration tools and frameworks
  • Demonstrate strong problem-solving and analytical capabilities
  • Communicate clearly and collaborate effectively with diverse teams
  • Comfortable working in a dynamic, fast-paced environment
What we offer:
  • Opportunity to work on modern, cloud-native data platforms using Google Cloud technologies
  • Exposure to enterprise-scale data engineering challenges across diverse business domains
  • A collaborative environment that values continuous improvement and shared learning
  • The ability to influence data quality, performance and analytics outcomes across teams

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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