Position Details
About this role
This role involves designing, building, and optimizing scalable data solutions for global supply chain analytics at General Motors, focusing on data pipelines, cloud integration, and advanced analytics.
Key Responsibilities
- Assemble large data sets
- Design process improvements
- Lead data-driven solutions
- Contribute to architecture discussions
- Develop automation and tooling
Technical Overview
The technical environment includes Python, Scala, SQL, cloud platforms, streaming technology, CI/CD, and data warehousing tools, supporting enterprise-level data engineering projects.
Ideal Candidate
The ideal candidate is a senior data engineer with over 7 years of experience in designing and optimizing data pipelines, proficient in Python, Scala, and SQL, with strong knowledge of cloud platforms and streaming technologies. They excel in collaborative environments and have a strategic mindset for scalable data solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 7 years of data engineering experience, Lack of experience with Python or Scala, No experience with cloud platforms, No experience in data pipeline development
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