Senior Data Engineer
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Mission: The corporate Digital & Data department aims to facilitate and drive the organization to leverage data as a major asset to achieve strategic ambitions, foster innovation, drive transformation, meet objectives, and ensure regulatory compliance.
- Cutting-edge Integration Toolset
- Business Intelligence, Analytics, and Storage Capabilities
- Platform for Master Data Management
- Data Governance Platform (Data Lineage and Data Quality)
Data Organization Structure:
- Business Product Teams: Support business stakeholder initiatives, organized according to Agile principles.
- Backbone/Platform Teams: Support data platform initiatives, organized according to Agile principles.
- Transversal Competencies Team: Support various profiles and technology initiatives, organized according to Agile principles (Spotify model).
- Continuous challenge and no status-quo.
- Flat hierarchy with team members spread across agile teams.
- Open-source principles guide our work approach.
Service Description:
Responsibilities:
- Join one of our product teams and contribute to the corporate data organization.
- Create data pipelines, efficient storage structures, and powerful materialized views.
- Develop data exchange endpoints for users.
- Interact with governance tools (Glossary, Modeling, Lineage, or Data Quality).
Mission Requirements:
- Extensive hands-on experience (>3 to 5 years) in at least 2 of the following categories:
- Implementing data pipelines or data enrichments with Python in a Databricks environment
- Openness to learning and adopting new technologies (Redis, RabbitMQ, Neo4j, Apache Arrow, etc.)
- Ability to interact with business analysts and stakeholders to refine requirements and present integrated solutions.
- Commitment to extensive testing and reinforcement of DevOps principles.
- Contribution to writing and structuring documentation.
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