Data Engineer
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Description
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 DevOps/DataOps tools (Git, CI/CD, Airflow or equivalent)
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