Data Engineer
Posted 4
views
Summary
Designs, builds, and maintains data infrastructures for Klee Group, developing ETL/ELT pipelines and industrializing data solutions with CI/CD and MLOps. Works with SQL, Python (or Scala/Java), Big Data tools like Spark, Kafka, and Hadoop, AWS cloud, and DevOps/DataOps tooling such as Git and Airflow.
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)