Data Engineer

Responsibilities

• Design, build, and maintain data infrastructures
• Ensure data quality, availability, and performance
• Develop ETL/ELT pipelines
• Clean, structure, and validate data
• Industrialize data solutions (CI/CD, MLOps)
• Collaborate with Data Scientists, Data Analysts, and IT teams
• Propose data solutions tailored to specific use cases

Requirements

• Master's degree (Bac+5) in Data, AI, Mathematics, or a related field
• Excellent command of SQL
• Proficient in Python (or Scala/Java)
• Knowledge of Big Data technologies (Spark, Kafka, Hadoop)
• Experience with cloud environments, especially AWS
• Proficiency with relational and NoSQL databases
• API development and integration of data sources
• Familiarity with Dev

  Ops/Data

  Ops tools (Git, CI/CD, Airflow or equivalent)