Note: The job is a remote job and is open to candidates in USA. Capgemini is a global business and technology transformation partner helping organizations accelerate their digital and sustainable transitions. The Senior Data Engineer will manage software releases across environments, coordinate development teams and stakeholders, define release processes, and support deployment, data migration, infrastructure, and integration activities.
Responsibilities
- Plan, manage, and execute releases across all environments - from development to production
- Identify technical and functional interdependencies between various tracks
- Coordinate with all development pods and stakeholders across programs
- Review application code, documentation, and perform pre/post deployment tasks
- Define release process for new data engineering applications
- Change management communication to all required stakeholders
- Execute release packages, step-by-step deployment guides, and command line instructions on production environment
- Support project timelines, clearly setting expectations, and realigning expectations internally as priorities change
- Develop a sound understanding of client’s needs: data conversion and migration requirements, environment management and build processes, deployment planning and execution, solution designs, systems integrations, technical architectures, and infrastructure architectures
- Execute deployment scripts and step-by-step instructions in test and production environments
- Comfortable with Command Line Interfaces
- Understanding of CI/CD, Git branching, packaging and DevOps pipelines
- Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau
Skills
- Execute deployment scripts and step-by-step instructions in test and production environments
- Comfortable with Command Line Interfaces
- Understanding of CI/CD, Git branching, packaging and DevOps pipelines
- Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau
Benefits
- Remote work arrangement
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