Senior Data Engineer

Capgemini; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Benefits offered by this job

Health checks

Telemedicine

Top-up insurance

Elder care

Partner coverage

New parent support

Flexible work

Job summary

Capgemini India is hiring an AWS Data Engineer to design, build, and maintain scalable data solutions on AWS. You will collaborate with data scientists, analysts, and stakeholders to deliver reliable data pipelines that power decision making.

You will optimize storage and processing for performance and cost, ensure data quality and security, and support analytics and machine learning use cases. This role offers exposure to cutting-edge AWS services and cross-functional teamwork in Bengaluru.

Qualifications

• Experience building scalable ETL/ELT pipelines with Python, Spark, or SQL.
• Hands-on with AWS data services (S3, Glue, Redshift, Athena).
• Strong data modeling, quality, security, and performance optimization.

Responsibilities

• Design scalable data architectures on AWS.
• Build end-to-end batch and streaming data pipelines.
• Ensure data quality, lineage, and security.
• Collaborate with data scientists and analysts to enable insights.

Skills

Analytical thinking

Communication skills

Team collaboration

Tools

Python

Apache Spark

SQL

AWS

Terraform

Kafka

Kinesis

Job description

Your RoleAs an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data solutions on the Amazon Web Services (AWS) platform. You will work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making by delivering reliable, secure, and high-performance data pipelines.In this role, you will play a key role in:Designing and implementing scalable data architectures using AWS servicesBuilding and maintaining end-to-end data pipelines (batch and streaming)Ensuring data quality, integrity, and security across data platformsOptimizing data storage and processing for performance and cost efficiencyCollaborating with cross‑functional teams to understand data requirements and translate them into technical solutionsSupporting analytics, reporting, and machine learning use cases with well-structured datasetsMonitoring, troubleshooting, and improving existing data workflows and systemsTop 5 Technical Skills RequiredAWS Data Services – Strong hands-on experience with services such as S3, Glue, Redshift, Athena, Lambda, and EMRData Engineering & ETL – Experience building scalable ETL/ELT pipelines using Python, Spark, or SQLDatabase & Data Warehousing – Solid knowledge of relational and NoSQL databases, data modeling, and warehouse conceptsBig 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 toolsWhat you'll love about working hereYou 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.