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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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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a Data Engineer with strong expertise in GCP BigQuery, Data Fusion and SQL to design, build and support critical data platforms within our Data & Analytics Shared Services function. This role blends deep technical capability with collaborative delivery, focusing on developing scalable, secure and high-performing cloud-based data solutions that support enterprise analytics use cases.

Job Responsibility:

  • Design, develop and maintain data solutions using GCP services such as BigQuery, Data Fusion, Cloud Storage, Cloud Functions, App Engine and Cloud Run
  • Write, debug and optimise complex SQL and PL/SQL queries to process and analyse large-scale datasets
  • Collaborate with data engineers and stakeholders to process and manage large volumes of structured data
  • Ensure best practices are followed for performance, security, scalability and reliability of cloud-based data applications
  • Develop and maintain unit tests and technical documentation to ensure code quality and long-term maintainability
  • Troubleshoot and resolve issues in cloud-based data applications and services in production environments
  • Apply cloud-native development principles and modern data engineering practices
  • Contribute to continuous improvement initiatives within data warehousing and analytics platforms

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

Work Type:
Hybrid work
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