Data Engineer Databricks / Snowflake

Tenth Revolution GroupParis, FR
Published on

About the Role

At Tenth Revolution Group, we are looking for a passionate Data Engineer who specializes in Databricks and Snowflake. You will work in an innovative and rapidly growing company, providing assistance to large accounts and mid-sized enterprises in transforming their information systems around data. Your mission includes working on high-value data projects from conception to industrialization, particularly within cloud environments such as Azure, AWS, or GCP.

Key Responsibilities

  • Design and model scalable data architectures on Snowflake / Databricks
  • Develop data ingestion and transformation pipelines (ETL / ELT)
  • Optimize performance of data processing
  • Deploy data solutions in a cloud environment (IaC, CI/CD, monitoring)
  • Collaborate with Data Scientists, Analysts, and Architects to ensure data quality
  • Contribute to best engineering practices and ongoing technological watch

About the Candidate

The ideal candidate should have at least 4 years of experience in data engineering. Mastery of Databricks and Snowflake in production environments is a must. You should be comfortable with massive data processing (Big Data) and cloud environments. Strong relational skills, enjoyment of teamwork, and project-based work are key traits for this role. Proficiency in technical English is a bonus.

About the Company

Tenth Revolution Group is a human-sized ESN with close management and a dynamic team of experts in data engineering, cloud, and artificial intelligence. We provide regular certified training in Databricks, Snowflake, and cloud technologies, ensuring our team is always at the forefront of industry advancements.

Company Culture and Benefits

We offer flexible remote work options (2 to 3 days per week), various projects with large accounts and scale-ups, as well as an attractive package with fixed and variable components along with social advantages. Your applications will be handled confidentially.