Data engineer- RUN

Responsibilities

Direct Responsibilities

• carry out production monitoring
• process business line requests (evolution/issues/...)
• provide quality user support to the business lines.
• collect/analyze/challenge business line needs, provide its technicalexpertise and propose a technical response tailored to the needs, the BNPP Cardif ecosystem and existing technical-functional constraints.
• adapt itself to functional and technical contexts and increase skills if needed/required.
• followtechnical roadmap required by IT Group and maintain/develop IT solution by considering these requirements.
• monitor the product’s performance indicators (during build/run activities) and reporting to its management.
• fixe issues and get their remediations.
• write and keep updating technical documentation.
• be proactive about technical optimizations or efficiency gains.

Contributing Responsibilities

• get knowledge over Data Fabric product, its features and severals use cases.
• contribute to the RUN tasks to maintain the Data Fabric product and, above all, have a critical point of view to propose/implement the improvements needed to simplify/make the tasks more reliable
• get and keep informed about strategic plans about the Data Fabric product defined and needed to increase the capabilities of the Data Fabric product.
• actively participate in projects by helping others squad members, managing, and doing building phases (pre-study/analysis/development/tests/documentation/...) of data engineering ranging from collection, ingestion, integration and exposure of data.
• close collaboration with the IT teams (developers, service center, test center) and the project manager to ensure a good understanding of the needs and their IT implementations.
• work closely with the others "data engineer"/”data developer” members of the extended “Data FoundationS” squad based in Portugal ("Cardif Support" offices) and in France (Nanterre).

• active contribution to all agile rituals (sprint planning, backlog refinement, sprint review, sprint demo, sprint retrospective, daily meeting)

Technical & Behavioral Competencies

• Data pipeline and data processing principles (master/expert)
• AirFlow orchestrator (master)
• Programming Languages and development: Python/Java, Spring Boot, Spring Batch, KSH, SQL (intermediate/master in 1 language as a software devloper)
• Web services such as REST (specifications and API management) (master)
• Toolchain CI/CD (principle, tools, automated test...) 
• Cloud concept with container, Cloud Object Storage (COS) and exchange protocol (type S3) (master or at least 1 significant experience)
• English (C2)
• Basic knowledges (principles) as a software developer / data engineer :

• DevOps tools: Jenkins, GitLab CI/CD
• Security rules and protocols
• Exchange file protocols (CFT)
• Distributed architecture
• Cloud environment (pod, Docker, Kubernetes,…)
• Relational database (Oracle, PostGreSQL, SQL,…)

Optional: 

• Object-oriented programming and microservices architecture (intermediate/master)
• Starburst product (knowledge or open-minded to learn)
• French (B1)
• Java development frontend with Angular (at least 1 significant experience or open-minded to learn)

Specific Qualifications:

• Minimum 7 years of experience along with Master Degree or equivalent

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

• Data pipeline and data processing principles (master/expert)
• Python/Java, Spring Boot, Spring Batch, KSH, SQL (intermediate/master)
• Web services (master)
• AirFlow orchestrator (master)

Behavioral Skills: 

• Attention to detail / rigor
• Adaptability
• Creativity & Innovation / Problem solving

• Ability to deliver / Results driven

Transversal Skills: 

• Ability to understand, explain and support change
• Analytical Ability
• Ability to anticipate business / strategic evolution
  • Ability to develop others & improve their skills