Data Engineer for a pioneering tech giant

Avel Technologies; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading technology firm in Paris is seeking a data analytics engineer to tackle ambitious challenges in a collaborative environment. You will build and maintain data pipelines, ensuring data quality and integrity while collaborating effectively with your team. The ideal candidate has over 5 years of experience and strong skills in Python and cloud platforms, especially Snowflake. This position offers a hybrid work model with on-site requirements on select days.

Qualifications

• Minimum 5 years experience in data engineering, building data pipelines.
• Proficient in cloud platforms and tools like Snowflake.
• Skilled in data modeling and data quality maintenance.

Responsabilités

• Build and maintain data pipelines for ETL/ELT.
• Ensure documentation is clear and structured.
• Collaborate effectively with cross-functional teams.

Connaissances

Communication

Documentation

Collaboration

Initiative

Attention to Detail

Python

Advanced SQL

Outils

Airflow

dbt

Prefect

AWS

Snowflake

Description du poste

Location: Paris (16), France – Hybrid (Tuesday, Wednesday, Thursday on-site)
Employment Type: Full-Time (CDI Chantier or Freelance)
Company:Avel Technologies

Company Description

AtAvel Technologies ,we tackle ambitious challenges in a creative and collaborative environment. This is your chance to build the future of connectivity.

Our client, one of the leading tech companies worldwide, is looking for a data analytics engineer with the following expertise:

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)
• Snowflake
• Data Migration
• Database Technologies
• Advanced SQL
• Data Engineering
• python

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