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· Design, develop, test, and maintain scalable and reliable data pipelines and software systems.
· Collaborate with cross-functional stakeholders to gather, analyse, and understand data requirements.
· Implement and manage ETL processes using tools such as Ab Initio or Oracle Data Integrator (ODI).
· Work extensively with GCP services including BigQuery, Dataproc, Data Fusion, and Cloud SQL.
· Write, optimise, and maintain SQL queries for efficient data extraction and transformation.
· Ensure data quality, consistency, integrity, and performance across data platforms.
· Monitor, troubleshoot, and resolve data workflow and system issues to maintain operational stability.
· 4–7 years of experience in data engineering or a closely related role.
· Strong proficiency in GCP services, including BigQuery, Dataproc, Data Fusion, and Cloud SQL.
· Hands-on experience with enterprise ETL tools such as Ab Initio or ODI.
· Solid knowledge of Unix and SQL, with exposure to Teradata environments.
· Working knowledge of Python is an advantage.
· A structured problem-solver with strong attention to detail.
· A clear communicator who works collaboratively within diverse teams.
· Opportunity to work on enterprise-scale data platforms within a global organisation.
· Exposure to modern cloud-based data engineering solutions and large, complex datasets.
· A collaborative, inclusive, and learning-focused work environment.
· The chance to contribute directly to data-driven transformation initiatives across Vodafone markets.
· Advanced design and optimisation of cloud-native data pipelines on GCP.
· Practical application of large-scale ETL frameworks in enterprise environments.
· Data quality, performance tuning, and reliability engineering best practices.
· Enhanced collaboration and stakeholder engagement skills in cross-functional teams.
· LinkedIn: https://www.linkedin.com/company/vois/
· Facebook: https://www.facebook.com/voisglobal
· Instagram: https://www.instagram.com/voisglobal/
· Chat with our employees: https://lnkd.in/dpkrcvR2
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