Great People make Schneider Electric a great company.
Do you dream of working in a company that is driven by a meaningful purpose and that continuously creates an inclusive environment where you are empowered to do your best and be innovative
The Role:Data Engineer Lead
You will be responsible for building and maintaining scalable data pipelines and infrastructure using AWS and Databricks. You'll work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making across Schneider Electric's global supply chain.
Key Responsibilities
- Develop and optimize data pipelines using Databricks (PySpark) and AWS services (Glue, Lambda, S3, Redshift, etc.)
- Implement data ingestion, transformation, and integration workflows
- Ensure data quality, reliability, and performance across systems
- Collaborate with cross-functional teams to understand data requirements and build analytical data layer for analytics consumption
- Monitor and troubleshoot data workflows and infrastructure
- Maintain documentation and support CI/CD practices for data engineering
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 3+ years of experience in data engineering with AWS and Databricks
- Strong skills in Python, SQL, and PySpark
- Experience with data lakehouse architectures, Delta Lake, and ETL frameworks
- Familiarity with DevOps tools and Infrastructure as Code (e.g., Terraform)
- Strong analytical and communication skills
Preferred Skills
- Experience in supply chain or manufacturing data environments
- AWS or Databricks certifications
- Exposure to Agile methodologies and global collaboration
