Databricks Tech Lead
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Job Description
Tech Lead planning and executing data engineering releases at Capgemini Engineering. Collaborating with development pods, managing project timelines, and executing deployment plans in production environments.
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.
Requirements:
- 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:
- Training, certifications, and mentorship programs
- Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
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