Data Science Engineer
il y a 2 jours
Schneider Electric is a global leader in energy management and automation, empowering individuals and organizations to make the most of their energy and resources. Our mission is to bridge progress and sustainability for all, and we're committed to driving digital transformation through the integration of advanced energy and automation technologies.
Job SummaryWe're seeking a Senior Data Engineer to join our AI Solutions team, responsible for designing, developing, and deploying advanced data processing applications within our product and service offers in the Energy Management and Industrial Automation domains. As a key member of our team, you'll analyze complex data processing use cases, specify, design, implement, test, validate, and industrialize advanced data management functions, and contribute to state-of-the-art monitoring, technological watch, and experimentation of new technologies, tools, and processes.
Responsibilities- Analyze complex data processing use cases and corresponding data.
- Specify, design, implement, test, validate, and industrialize advanced data management functions.
- Contribute to state-of-the-art monitoring, technological watch, and experimentation of new technologies, tools, and processes.
- Identify and evaluate potential external partners.
- Contribute to intellectual property protection, capitalization of knowledge, and internal and external communication.
- Master or PhD or equivalent diploma in Computer Science with a minimum of 2-3 years of experience in Data Engineering.
- Python, Spark, PySpark, SQL/NoSQL, ETL/ELT skills.
- Experience with public cloud services: Microsoft Azure and/or AWS.
- Knowledge of technologies such as Databricks, Kubernetes, Docker, OpenDataSoft would be an asset.
- AI exposure (Data Science, Machine Learning, MLOps) and Big Data / Data Analysis / Data Visualization background would be an asset.
- Software engineering skills/experience: capacity to perform coding, debugging, testing (including unit tests, functional tests, and integration tests) and troubleshooting throughout the application development process and in agile mode.
- Knowledge of other programming languages would be an asset: Java, C++, C#, JavaScript, R, Matlab.
- Ideally, some knowledge of Energy Management and Automation markets.
- Orientation towards solving problems, achieving results, and applying technology to real-life business cases.
- Effective communication skills including aptitude for data-driven storytelling: convincing with words, impacting with data, and influencing with visuals.
- Autonomy and capacity to cooperate.
- Openness of mind and scientific rigor.
- Fluent in English.
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