Data Engineer
- Capgemini
- 4 - 5 years
- Mumbai
- 12 days ago
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Job Description
- 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.
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: CapgeminiLocation(s): Mumbai
Keyskills: Data Engineer S3 Azure Data Pipelines Ai Infrastructure As Code Synapse Analytics Programming Elt Redshift Analytics Data Integration Cloud Storage Gcp Snowflake Data Lake Databricks Data Warehousing Aws Etl Lambda Python
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Capgemini
Capgemini is headquartered in Paris, France and operates in more than 40 countries. They are one of the world’s largest providers of Consulting, Technology, and Outsourcing. Above all, Capgemini is a people company— 120,000 people in North America, Europe, South America and the Asia ...
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