Grade: C1
Location: Pan India (Capgemini Office Locations)
Experience: 7+ Years Preferred
Notice Period: Immediate to 30 Days Preferred
Compensation: As per company norms
We are seeking an experienced Data Engineer to join our team and work on designing, building, and maintaining robust data solutions on AWS cloud platforms. The ideal candidate will bring strong technical skills, problem-solving ability, and collaboration experience with cross-functional teams.
Manage and maintain AWS-based data storage solutions including Amazon S3, Amazon Redshift, and Amazon DynamoDB
Design, develop, and optimize data processing workflows using AWS Glue, Amazon EMR, and AWS Lambda
Collaborate with business analysts to ensure data availability and usability for reporting and visualization
Work with engineering teams and business stakeholders to gather requirements and deliver scalable data solutions
Develop and maintain data pipelines using SQL, Python, or Scala
Leverage Infrastructure as Code (IaC) tools (e.g., CloudFormation, Terraform) for automating deployment and management of data infrastructure
Strong hands-on experience with AWS data services
Proficient in SQL, Python, or Scala
Experience with ETL frameworks, data lake architectures, and data warehousing
Familiarity with IaC tools for deploying cloud infrastructure
Strong communication and stakeholder management skills
Bachelors or Masters degree in Computer Science, Data Engineering, or a related field
Keyskills: sql data warehousing aws scala lake data etl python data engineering
Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...