Deputy Manager Assistant Lead GCP Data Engineer Pune
Pune, IN
Vodafone
Vodafone is a leading technology communications company in Europe and Africa, keeping society connected and building a digital future. Find out more!_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.
Technical Skills
- Top skills for this positions is : Google Cloud Platform (Composer, Big Query, Airflow, DataProc, Data Flow, GCS)
- Data Warehousing knowledge
- Hands on experience in Python language and SQL database.
- 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
- 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)
- Good to have: Professional Data Engineer or Associate Data Engineer Certification
Roles and Responsibilties
- Design, build & manage Big data ingestion and processing applications on Google Cloud using Big Query, Dataflow, Composer, Cloud Storage, Dataproc
- Performance tuning and analysis of Spark, Apache Beam (Dataflow) or similar distributed computing tools and applications on Google Cloud
- Good understanding of google cloud concepts, environments and utilities to design cloud optimal solutions for Machine Learning Applications
- Build systems to perform real-time data processing using Kafka, Pub-sub, Spark Streaming or similar technologies
- Manage the development life-cycle for agile software development projects
- Convert a proof of concept into an industrialization for Machine Learning Models (MLOps).
- Provide solutions to complex problems.
- Deliver customer-oriented solutions in a timely, collaborative manner
- Proactive thinking, planning and understanding of dependencies
- Develop & implement robust solutions in test & production environments.
_VOIS Equal Opportunity Employer Commitment
India:
_VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics.
As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion, Top 50 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India in 2024.. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do.
By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills!
Apply now, and we’ll be in touch!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Big Data BigQuery Business Intelligence CX Dataflow Data pipelines Dataproc Data Warehousing DevOps Finance GCP Google Cloud Kafka Kubernetes Machine Learning ML models MLOps Pipelines Python Robotics Spark SQL Streaming
Perks/benefits: Career development
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