About you
- Bachelors in Computer Science or Software Engineering with a 3.5+ GPA.
- 5+ years of industry experience in data engineering position building production data pipelines with identifiable business use cases.
- Strong CS fundamentals with extensive background architecting scalable and robust production-grade pipelines.
- Expertise with modern data technologies, such as Airflow, Spark (Scala preferred), Trino, Flink, and BigQuery.
- Proficient with SQL and skilled in Python. Scala expertise is a big plus!
- Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences.
- A strong desire to learn, grow, and drive impact on real global problems—and to help others around you do the same.
- Experience with AI libraries, frameworks, and pipelines is preferred but not required.
- Non-requirement: You don't need any experience with supply chain or manufacturing—we'll teach you that part!
Responsibilities
- Build production-grade data pipelines for our AI models to solve real-world complex problems in global supply chain and manufacturing.
- Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts to build high-quality product features that can be used by major companies around the world.
- Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment.
- Help shape the company by participating in hiring decisions and contributing to our culture of continuous learning and growth.
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