The role supports the design, development, and operation of data pipelines used across global manufacturing plants and supply networks
Job Summary
The role supports the design, development, and operation of data pipelines used across global manufacturing plants and supply networks.
Candidates will assist in building batch data pipelines using Python, SQL, and PySpark while ensuring data accuracy through validation and reconciliation.
The company fosters an inclusive culture grounded in four key behaviors: curious, empowered, inclusive, and agile.
Matching Summary
The role supports the design, development, and operation of data pipelines used across global manufacturing plants and supply networks.
Skills & Requirements
Must-have
Python and SQL proficiency
Azure Data Factory experience
ETL/ELT pipeline fundamentals
Cloud data warehouse querying
Git collaborative workflows
Nice-to-have
PySpark distributed processing
Manufacturing or supply chain background
Snowflake or Synapse experience
Production data engineering best practices
Growth mindset and continuous learning
Key Requirements
Bachelor's degree in computer science or related field
1-3 years of experience in data analytics or engineering
Willingness to learn production data engineering standards