Senior Data Engineer (ML)

This Senior Data Engineer (ML) role involves building a no-code interface enabling users to develop predictive models for complex supply chain challenges. The role focuses on orchestrating end-to-end workflows for supervised learning, time-series forecasting, and a seamless user experience, working with platform and data science teams. The scope includes optimizing ETL pipelines and implementing new ML features.

Requirements

• 5–10 years of experience in product or data engineering roles.
• Proven expertise in designing and implementing data pipelines and ETL workflows.
• Strong proficiency in Python, SQL, and REST API development.
• Hands-on experience with Airflow, Kafka, and Snowflake.
• Solid understanding of distributed computing frameworks (Spark, Dask, Ray, etc.).
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Strong grounding in software engineering fundamentals and data modeling.