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Data Engineer

Your Role

  • Has 4-5 years of IT experience with minimum 3 years of experience in creating data pipelines, ETL/ELT on cloud.
  • Has experience with any of these cloud providers - AWS, Azure, GCP.
  • Experience with cloud storage, cloud database, cloud data-warehousing and Data lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3.
  • Experience in writing cloud utility functions such as AWS lambda, AWS step functions, Cloud Run, Cloud functions, Azure functions.

Your Profile

  • Experience in using cloud data integration services for structured, semi structured and unstructured data such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, AWS Glue, AWS EMR, Dataflow, Dataproc.
  • Exposure to cloud Dev ops practices such as infrastructure as code, CI/CD components, and automated deployments on cloud.
  • Expertise in programming using python.
  • Exposure cloud Dev ops practices such as infrastructure as code, CI/CD components, and automated deployments on cloud.

What you will love about working here

· We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.

· At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.

· Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Ref. code:  489896
Posted on:  9 Jun 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Mumbai (ex Bombay), IN

Brand:  Capgemini Invent
Professional Community:  Data & AI

Apply now »