Data Analytics (ETL ELT) Engineer

About

Data Analytics (ETL ELT) Engineer – 12+ Months Contract – Paris, France

Core Professional Competencies

• Communication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
• Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
• Collaboration: Works effectively with cross‑functional partners. Values shared ownership and ensures continuity through knowledge sharing.
• Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
• Attention to Detail: Delivers high‑quality, consistent code and documentation that supports long‑term maintainability and trust in data systems.

Data Engineering Expertise (5+ years)

• Experienced in building and maintaining data pipelines (ETL/ELT)
• Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
• Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
• Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
• Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

Data Infrastructure & Management (5+ years)

• Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
• Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
• Familiar with version control, CI/CD practices for data workflows (e.g., Git)