
at Capgemini
ConsultanciesPosted 3 days ago
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**Data Engineer needed** for cloud-based data infrastructure role. Must have 4-5 years of IT experience, with 3+ years in creating data pipelines using ETL/ELT methods on cloud. Proven experience with AWS, Azure, or GCP, and familiarity with cloud storage, databases, data warehousing, and data lakes like Snowflake, BigQuery, AWS Redshift. Experience essential in writing cloud utility functions such as AWS Lambda and Azure Functions. Proficiency in Python required. Ideal candidate will have experience using cloud data integration services and cloud DevOps practices.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
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
Equip yourself with valuable certifications in the latest technologies such as Generative AI.




