Data Engineer
capgemini
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.
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.