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Data Engineer - GCP, Python & BigQuery - 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:

  • 7–10 years of relevant experience in data engineering or data warehousing roles
  • Strong proficiency in SQL and PL/SQL, particularly within GCP BigQuery environments
  • Hands-on experience with GCP services such as BigQuery and Data Fusion, with working knowledge of other GCP components
  • Understanding of data warehousing concepts, database systems (SQL and NoSQL) and data processing frameworks
  • Exposure to Python for data processing or cloud-based development
  • Strong problem-solving, debugging and analytical skills
  • Clear communication and effective collaboration within cross-functional teams
  • Graduate or postgraduate degree in a technical discipline, preferably Engineering
What we offer:
  • Opportunity to work on enterprise-scale data platforms using modern GCP technologies
  • Exposure to global analytics programmes and shared services delivery models
  • A collaborative environment that values process improvement, quality and innovation
  • The chance to influence data reliability, performance and analytics outcomes

Additional Information:

Job Posted:
May 04, 2026

Work Type:
Hybrid work
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