Data Engineer

Data from various sources (databases, APIs, files, connected objects, etc.) is collected and transformed by automating its ingestion, cleaning, structuring, and enrichment to make it reliable, consistent, and directly usable.
• Automated and robust data pipelines are developed and maintained to ensure smooth, secure, and efficient access to data.
• Data flow quality and security controls are implemented, integrating validation, monitoring, and traceability mechanisms.
• Data flows are modeled and structured in accordance with architectural standards, security and confidentiality rules (e.g., GDPR, internal policies) and are documented to ensure the maintainability of solutions.