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Etl And Cloud Testing - Vois

India, Pune · Job Posted July 04, 2026
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Job Description

We are seeking a Data Quality Engineer with 5–8 years of experience in ETL and data migration testing within GCP environments. The role focuses on validating data pipelines, ensuring data integrity during migrations from legacy platforms such as Teradata to cloud-based architectures, and safeguarding sensitive information through robust testing of encryption and anonymisation solutions.

Job Responsibility

  • Perform System Integration Testing (SIT), system regression, and performance testing (where applicable) for data migration solutions
  • Validate ETL pipelines and perform data reconciliation between Teradata and GCP platforms
  • Test and validate GCP services, including Dataflow, Cloud Run, Dataform, Eventarc, and Pub/Sub
  • Ensure data integrity, completeness, and accuracy following migration activities
  • Test PII data anonymisation, masking, and protection mechanisms
  • Validate encryption and decryption processes using GPG and Format Preserving Encryption (FPE)
  • Execute performance and volume testing for large-scale datasets
  • Apply strong data validation techniques using SQL and data warehousing concepts

Requirements

  • 5-8 years of experience in data/ETL testing or data migration quality engineering
  • Skilled in validating ETL processes and data pipelines in cloud environments, particularly GCP
  • Knowledgeable in handling PII data, including anonymisation and encryption practices
  • Familiar with cloud-based data architectures and large-scale data migration testing
  • Proficient in SQL, data warehousing concepts, and data validation methodologies
  • Comfortable validating complex distributed systems and ensuring data quality across platforms

What we offer

  • Opportunity to work on large-scale cloud data migration programmes using GCP technologies
  • Exposure to modern data platforms, distributed systems, and advanced data security practices
  • Collaborative work environment with cross-functional teams across global markets
  • Continuous learning through real-world implementation of emerging cloud services
  • Opportunity to contribute to critical data transformation initiatives within Vodafone
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