Senior Data Engineer/Databricks Engineer

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. Company Industry Consumer DurablesConsumer Electronics Department / Functional Area IT Software Keywords Senior Data Engineer/Databricks Engineer Get real-time job updates only on our App