Assistant Manager_Senior Data Engineer_GCP Data Engineer_Pune

Requisition ID 260179 Date posted 04/07/2025 Organisational Unit Data & Analytics _VOIS Intro About _VOIS: _VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group's partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, _VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. _VOIS Centre Intro About _VOIS India: In 2009, _VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, _VOIS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Role Related Content (Role specific) Preferred Skills: Extensive experience in Google Cloud stack – Bigquery, GCS, Google Dataproc, Data Fusion, Data Flow, Cloud Pub-Sub, Composer, Cloud SQL, Google Kubernetes Engine, Cloud Run, Compute Engine, Artifact Registry, Google Data Studio) Experience in working with Python. Knowledge of Security, Identity and Access Management (IAM), Key Management (GMEK/CMEK), cloud IaaS components on GCP. Experience with SQL and NoSQL modern data stores. Experience in job scheduling using Oozie or Airflow/Cloud scheduler or any other ETL scheduler Design and build data pipelines from ingestion to consumption within a big data architecture using Java, Python or Scala. Experience with Cloud IaaS and DevOps Platforms like Terraform or equivalent technology. Experience in MDM, Metadata Management, Data Quality and Data Lineage tools. Implementing ETL framework over Big Data framework – Apache Spark and Hive. Experience with managed code or scripting competency (Unix shell scripting, Python, JSON, and YML).

_VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group's partner of choice for talent, technology, and transformation.