Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

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KEY EXPECTED ACHIEVEMENTS

Following Lean & Agile methods, quality and security (SecByD) rules, and state of the art of DevOps practices under the supervision of senior and lead engineer:

Software, creating business value, is developed and maintained:
The beautiful* and clean** code is written. Testings and debugging are completed. The softwares are maintained and improved. Technical support by diagnosing and solving simple incidents is insured. Easy technical questions are answered. Minor changes to existing applications are implemented. The associated documentation is carried out.

Functional and/or Technical specifications are adapted to cover the right level of business needs:
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.

Controls and tests are executed:
Unit tests and unit plans are built, executed, optimized, 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 a contributor to change management, communication and training.
He/she builds an automated deployment.
He/she supports the solution (especially in product mode)

* 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, ...).

Activity

• Be part of a IS/IT squad under the responsibility of a Team Leader.
• Requested to work on Data projects as a Developer Engineer.
• To build and support solution in Corporate Datalake using Azure technologies (Databricks with Python, PySpark, Azure Datafactory), and follow delivery till Production deployment, assume L3 support (ability to support User Acceptance tests, good level of communication expected).

Experience Level

Entry Level