Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
About the role
- Data Engineer Senior creating scalable data pipelines and deploying ML models. Collaborating within a passionate team at Norsys focusing on IT engineering and consulting.
Responsibilities
- Participate in designing, developing and industrializing data pipelines
- Develop and maintain scalable data pipelines
- Ensure large-scale data ingestion, transformation and storage
- Implement data quality mechanisms, monitoring and alerting
- Industrialize ML model training and deployment (MLOps)
- Collaborate with Data Scientists and application developers
- Contribute to continuous process improvement and technical documentation
Requirements
- Minimum 5 years of experience as a Data Engineer
- Ability to work in a team and communicate with diverse stakeholders
- Analytical mindset, curiosity and a taste for challenges
- Python, Scala, SQL, PySpark and distributed processing (Spark / Hadoop ecosystems)
- Workflow orchestration (Airflow or equivalent)
- CI/CD (GitLab, Git) and containerization (Docker)
- MLOps (MLflow, DVC or equivalents)
Benefits
- Permanent contract (CDI) with hybrid remote work (2 days/week)
- 20 RTT days (French compensatory leave) with the option to sell them back
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