Description du poste
Ability to work independently and take initiative to solve technical problems.
Excellent communication skills to effectively collaborate with technical and non-technical teams.
You will be part of a team of 5 developers and will report to the Data domain manager.
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Analyze and refactor existing code primarily developed by data engineers.
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Establish and maintain modular and clean development standards.
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Experience with code reviews and provide feedback to improve code quality and development practices.
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Write and execute unit tests, integration tests, performance tests, and regression tests to ensure code robustness and quality.
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Ensure migration and compatibility with recent versions of Python 3 while managing the existing code.
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Apply the SOLID principles of object-oriented design to ensure code quality and maintainability.
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Work with tools and environments such as Cloudera to manage and optimize data.
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Understand and apply distributed computing principles to optimize data processing and computation.
DevOps responsibilities:
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Experience with GitLab CI/CD for automation of build and deployment processes.
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Collaborate with data engineering teams to understand and improve existing data pipelines.
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Implement Continuous Integration (CI) using Jenkins and Jenkins files/groovy, SonarQube
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Familiarity with SonarQube for code quality analysis.
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Develop, deploy, and manage containerized applications using Docker.
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Understanding of deployment strategies using Virtuozzo Containers and Docker.
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Knowledge of Cloudera platform and its integration with Python applications.
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Experience with Jira API for task and project management.
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Familiarity with Nexus Repository for artifact management.
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Strong troubleshooting skills and ability to optimize performance.
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Knowledge of package management with PyPI and pip.
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Auto feed DEV, SIM, UAT envs
Methodology:
Work in an Agile methodology, participating in daily stand-ups, sprint planning, and retrospectives.
