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Data Engineer
hace 2 meses
We are seeking a highly skilled Data Engineer to join our Schneider Digital – Finance data platform team. As a Data Engineer, you will play a key role in designing, developing, and maintaining new ETL, data extractions, and ingestions, ensuring FAIR principles are achieved.
Key Responsibilities- Design and develop scalable data pipelines to integrate and model datasets from complex data sources.
- Work with large and complex datasets within the platform and make them available to different stakeholders.
- Collaborate with data team members to define data quality rules and KPIs for monitoring and exception alerts.
- Diagnose and triage infrastructure problems and outages related to the data & analytics platform.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Economics, or a related field.
- Minimum of 2 years' experience in a data engineering role.
- Familiarity with data processing concepts like ETL/ETL pipelines.
- Experience with Python and Git.
- Knowledge of good practices for Python development (project structure, testing, formatting, deploy, etc.).
As a Data Engineer at Schneider Electric, you will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of professionals. You will also have access to our Data Engineer training path based on AWS, Databricks, and Coursera trainings.
