
Data Engineer
1 week ago
Overview
As a Data Engineer , 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
- 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)
- Mid-Senior level
- Contract
- Information Technology
- Manufacturing and Appliances, Electrical, and Electronics Manufacturing
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