AWS Data Engineer - VOIS
Vodafone Group (company site, opens in a new tab)7+ yrsPuneHybridDirect career pageEst. 22–35 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, and related AWS services to support data-driven decision making.
- Build and optimize data warehousing and data lake solutions for analytical and operational requirements, including creating data models and ensuring data quality.
- Collaborate with global cross-functional teams to develop data products, automate processes, manage deployments using GitHub and CI/CD, and contribute to continuous improvement initiatives.
Minimum Requirements
- 7 to 10+ years of experience in Data Warehousing and Data Engineering.
- Strong hands-on expertise with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena, and Apache Iceberg.
- Experience with GitHub, CI/CD practices, API integrations, and JSON processing.
- Work Experience Required: 7 to 10+ years in relevant data engineering roles.
Ideal Candidate Profile
- Experienced in designing and supporting enterprise-scale ETL pipelines within AWS-native data engineering environments.
- Comfortable working with global and multicultural teams, managing stakeholders across multiple markets.
- Familiarity or interest in telecom business processes and data domains is a plus but not mandatory.