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We are seeking an experienced QA and Data Testing professional to support the quality assurance of large-scale, cloud-based data platforms within VOIS. This role focuses on validating data pipelines, data warehouses, and analytical layers built on Google Cloud Platform, with a strong emphasis on BigQuery and SQL. The individual will play a key role in ensuring data reliability, accuracy, and consistency across multiple layers of the data ecosystem.
Job Responsibility:
Perform end-to-end testing of data pipelines built on Google Cloud Platform
Validate data ingestion, transformation, and loading into BigQuery tables
Conduct comprehensive data quality checks, including schema validation, duplicate detection, null checks, reconciliation, and transformation validation
Validate ETL and ELT processes across staging, curated, and analytics layers
Apply analytical thinking and structured problem-solving to identify, debug, and resolve data-related issues
Collaborate with cross-functional technology and data teams to support continuous improvement in data quality and testing practices
Requirements:
Experienced QA or Data Testing professional with hands-on expertise in Google Cloud Platform
Proficient in BigQuery and SQL, with a solid understanding of data warehouse concepts and testing methodologies
Experienced in validating complex data pipelines and large datasets in cloud environments
Analytical, detail-oriented, and comfortable working with structured and semi-structured data
Able to apply independent judgement while working effectively within collaborative delivery teams
What we offer:
Opportunity to work on enterprise-scale cloud data platforms within a global organisation
Exposure to advanced data engineering and analytics environments on Google Cloud Platform
A collaborative and inclusive workplace that supports professional growth and continuous learning
The chance to contribute to data-driven decision-making that impacts Vodafone markets globally