onsite
Sr. Feature Engineer
Software Engineer
Senior Feature Engineer driving end‑to‑end data pipeline automation on AWS and Azure, leveraging Apache Airflow and CI/CD practices to deliver scalable, high‑quality feature services for machine learning workloads.
About the role
Key Responsibilities
- Design, develop, and maintain feature pipelines using Apache Airflow on AWS and Azure environments.
- Implement CI/CD workflows to automate deployment, testing, and monitoring of feature services.
- Collaborate with data scientists and ML engineers to translate model requirements into robust, production‑ready feature stores.
- Optimize pipeline performance, ensuring low latency and high throughput for real‑time feature delivery.
- Document architecture, code, and operational procedures for cross‑team knowledge sharing.
Requirements
- 5+ years of experience in data engineering or feature engineering roles.
- Proficiency with AWS services (S3, Lambda, Glue) and Azure Data Factory or equivalent.
- Hands‑on experience building and managing Airflow DAGs at scale.
- Strong background in CI/CD tooling (GitHub Actions, Azure DevOps, Jenkins) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.