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KEY EXPECTED ACHIEVEMENTS
Mastering Lean & Agile methods, quality and security (SecByD) rules and state of the art of DevOps practices:
Functional and/or Technical specifications are created and challenged to cover the right level of business needs:
The business needs are analyzed and converted into functional and/or technical specifications.
A great User Interface (UI)/ User eXperience (UX) is provided by working closely with the business partners or UX/UI experts.
Functional and/or Technical specifications are adapted accordingly.
Software, creating business value, is developed and maintained:
The beautiful* and clean** code is collectively written (peer-programming) and challenged. Complex testings and debugging are led. The softwares are maintained and improved. Technical support by diagnosing and solving complex incidents is insured. Complex technical questions are answered. Operability and user acceptance are overseen. Major changes to existing applications are implemented. The associated documentation is carried out.
Controls and tests are monitored and optimized:
Unit tests and unit plans are built, executed, optimized, monitored, ensuring quality, security and consistency. Malfunctions, incidents and bugs are detected, understood, analyzed, reported and solved.
The solution is deployed and operated:
He/she is an active contributor to change management, communication and training.
He/she may train users, deployers and support teams.
He/she builds an automated and optimized deployment.
He/she supports the solution (especially in product mode)
Tutors developers, especially peer programming.
* Beautiful code is showable, useful, generic, sustainable (ease of maintenance, scalable, reusable), shareable, elegant (code as essay, "bookish", minimal), pleasurable, efficient, concise, readable.
** Clean code uses writing standards (names (search), functions (short), ...), code patterns (architecture/design at all scale) and practices (testing & refactoring) and uses code discipline (SOLID, DRY, YAGNI, TDD, ...).
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NRI/P: M
JD:
- Proficiency in Azure Data Factory for orchestrating and automating data workflows.
- Experience with Azure Databricks for data processing and analytics.
- Strong knowledge of Azure Data Warehouse architecture, design, and optimization.
- Familiarity with Azure Data Lake Storage (ADLS) for scalable data lake solutions.
- Expertise in Azure SQL Database for relational database management and query optimization.
- Experience with data modeling, ETL/ELT processes, and data integration techniques.
- Experience managing code in accordance with Source Control strategies
- Knowledge on CI/CD processes.
- Knowledge on Power BI and Dremio.
- Aware of Jira, Scrum and Agile process.
- Strong communication and interpersonal skills for effectively collaborating with cross-functional teams and stakeholders.