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.
About VOIS India:
Who you are
Role purpose: Develop applications in the Google Cloud Big Data environments to analyze data sources and design, code, test, debug, automate and maintain data pipelines (flow bringing the data from raw to its processed form).
Automate Machine Learning Models and ML pipelines on Google Cloud Optimize Cloud processes with respect to cost, runtime and stability Develop real-time streaming applications using Kafka, Pub/Sub and similar technologies Essential
Skilled Google Cloud Data Engineer Analytical technical skills to be able to predict the consequences of configuration changes (impact analysis), to identify root causes that are not obvious and to understand the business requirements. Excellent communication with different stakeholders (business, technical, project) Good understading of the overall Big Data and Data Science ecosystem Relevant work experience (5-9) years Experience with buiding and deploying containers as services using Swarm/Kubernetes Good understanding of container concepts like buiding lean and secure images Understanding modern DevOps pipelines Experience with stream data pipelines using Kafka or Pub/Sub (mandatory for Kafka resources) Strong programmi
📌 Deputy Manager _ GCP Data Engineer (Pune)
🏢 Vodafone
📍 Pune