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Data Engineer
Klee GroupData Engineer designing and maintaining robust data infrastructures at Alenium. Collaborating with cross-functional teams to ensure data quality, performance, and availability.
Tech Stack
Tools & technologiesAirflowAWSCloudETLHadoopJavaKafkaNoSQLPythonScalaSparkSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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)
Benefits
Comp & perks- Equal opportunity and inclusion
- Maintenance and support of data pipelines
- Optimization of processing performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETL/ELT DevelopmentData CleaningData ValidationAPI DevelopmentData Solutions Design
Soft Skills
CollaborationProblem-Solving