Data Engineer

At Schneider Electric, we are the leading digital partner in sustainability and efficiency for businesses, communities, and individuals.

Our goal is for all people to be able to make the most of our energy and resources through the integration of processes, software, big data, and energy technologies that enable integrated management of buildings, industries, and cities.

We are present in over 110 countries with a diverse and disruptive team of over 150,000 people.

If you are seeking an opportunity to propel your career and challenge your creativity, we want to meet you!

Schneider Digital is the digital department of Schneider Electric, leading the digital transformation in the company by giving support globally to our internal teams and our clients.

Schneider Digital consists of 6 Digital Hubs worldwide which are strategically located to ensure a 24/7 support across the company (France, China, India, USA, Mexico and Spain).

We are seeking talented individuals to join the team as Data Engineer.

Schneider Electric is modernizing current data-lake to make it AI ready, as part of this small team that is making IMPACT in all data platforms of the company.

What will you do?

• Play an instrumental role in the design, development, and maintenance of new ETL, data extractions and ingestions, data quality...

ensuring FAIR principles are achieved.

• Work with large and complex datasets, within the platform and make them available to different stakeholders.

• Define and build scalable data pipelines to integrate and model datasets from complex data sources.

• Ensure the quality best practices, defining and implementing automated testing of data pipelines and orchestration.

• 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.

• Learn fast about new technologies, project is growing fast and will be soon serving other BU, you will need to learn about different technologies.

• Closely collaborate with our cloud engineering team to drive automation and observability as a key success manner.

What qualifications will make you successful for this role?

• A bachelor's degree in: Computer Science, Engineering, Mathematics, Economics, or a related field

• A minimum of 2 years' experience in 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.)

• Hands on experience building on Pyspark.

• Experience with S3 for object storage and data lakes.

• Experience in data modelling.

• Experience in developing and operating workflow orchestration.

• Understanding of data partitioning and file formats like Iceberg and Delta.

• Understanding of data warehousing concepts and querying langua...