Job Description

Roles & Responsibilities

Within our project teams, you will contribute to the development of innovative digital solutions for key accounts in the banking, insurance, energy and industrial sectors.

As a Databricks Engineer, you will be involved in various missions such as:

• Design and develop high-performance and scalable data pipelines on Databricks.
• Leveraging the advanced features of Apache Spark via PySpark for processing massive datasets.
• Participate in data modeling, performance optimization and the implementation of best practices.
• Collaborating with Data Science, BI and business teams to meet business needs.
• Integrate the solutions into CI/CD environments, using tools like Git, Azure DevOps, Terraform.
• Provide technical guidance to junior profiles and contribute to technology monitoring. 

Desired Candidate Profile

• Diploma m (e) of a Bac+5 in computer science or equivalent.
• Proven experience (5 years) in a similar position.
• Proven experience in data engineering with Databricks.
• Proficiency in PySpark, SQL, and cloud environments (Azure, AWS or GCP).
• Knowledge of orchestration tools (Airflow, Azure Data Factory, etc.).
• Analytical skills, autonomy, rigor and ability to work in a team.
• A Databricks or cloud certification is a plus.