Senior Data Engineer developing and maintaining data solutions while ensuring data governance for the organization. Collaborating with teams using Microsoft Azure technologies in a hybrid work environment.
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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