Assistant Manager_Senior Data Engineer_GCP Data Engineer_Pune

_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 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 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. 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!