Senior Data Platform Engineer @ Capgemini

Full Time

Job description

Practical experience building data platforms using one or more cloud providers: AWS, Azure, or GCP. Strong understanding of large-scale data processing (Spark, Hive, Snowflake, Delta Lake or similar). Excellent SQL skills and experience with relational and/or NoSQL databases. Programming skills in Python or Scala. Experience with CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI, Jenkins). Hands-on experience with Docker and Kubernetes. Knowledge of DataOps principles, data testing, and monitoring. Ability to work independently and collaboratively as part of a team.

Required skills

docker snowflake ci/cd sql python aws kubernetes hive spark gcp azure delta lake scala dataops

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