Data Engineer
Your Role
- Designing and implementing scalable data architectures using AWS services
- Building and maintaining end-to-end data pipelines (batch and streaming)
- Ensuring data quality, integrity, and security across data platforms
- Optimizing data storage and processing for performance and cost efficiency
- Collaborating with cross‑functional teams to understand data requirements and translate them into technical solutions
- Supporting analytics, reporting, and machine learning use cases with well-structured datasets
- Monitoring, troubleshooting, and improving existing data workflows and systems
Top 5 Technical Skills Required
- AWS Data Services – Strong hands-on experience with services such as S3, Glue, Redshift, Athena, Lambda, and EMR
- Data Engineering & ETL – Experience building scalable ETL/ELT pipelines using Python, Spark, or SQL
- Database & Data Warehousing – Solid knowledge of relational and NoSQL databases, data modeling, and warehouse concepts
- Big Data & Streaming – Experience with big data frameworks and streaming technologies (e.g., Spark, Kafka, Kinesis)
- DevOps & Automation – Familiarity with CI/CD, Infrastructure as Code (Terraform or CloudFormation), and monitoring tools
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What you'll love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group.
- You will also get personalized career guidance from our leaders.
You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. - At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Mumbai, IN