AWS Data Engineer - VOIS
Vodafone Group (company site, opens in a new tab)7+ yrsPuneHybridDirect career pageEst. 22–38 LPA
Posted 16h ago
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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, Amazon S3 and related AWS services.
- Build and optimize data warehousing and data lake solutions to support analytical and operational business needs.
- Collaborate with global stakeholders to support data quality, develop data models, and deliver innovative AWS cloud-based data solutions.
Minimum Requirements
- 7 to 10+ years of relevant experience in Data Warehousing and Data Engineering.
- Strong hands-on experience with AWS Glue, Python, Apache Spark, Amazon Redshift, Amazon Athena, and Apache Iceberg.
- Proven experience designing, developing and supporting enterprise-scale ETL pipelines.
- Work Experience Required: 7 to 10+ years
Ideal Candidate Profile
- Experienced data engineer proficient in AWS-native cloud technologies with a focus on scalable data pipeline development and data modeling.
- Comfortable working within global, multicultural teams and collaborating across international stakeholders.
- Familiar with CI/CD practices, GitHub, API integrations, and telecom data domains is advantageous.