Senior Data Engineer
Core
Design, build, and own production-grade data pipelines for analytics and machine learning, ensuring reliability and cost efficiency.
Role type
Senior hands-on data engineer (data pipelines)
Builds
Production data pipelines, trusted datasets for analytics and ML teams
Domain
Cloud infrastructure, data engineering, AI/ML support
Deliverable
production ML models | product features
Required skills
Python, SQL, Kubernetes, workflow orchestration, stateless system design, idempotent processing, cloud environments, Linux debugging
Preferred skills
Apache Spark, distributed processing, ML workflow support, cost-optimized compute (Spot/Preemptible), relational/non-relational data stores, large-scale systems
Technologies
Python, SQL, Kubernetes, Docker, Airflow, CI/CD, Infrastructure as Code
Responsibilities
Design and implement resilient data pipelines; optimize for performance and cost; collaborate with Data Science/ML teams; orchestrate workflows; manage CI/CD automation; debug production issues
Seniority
Senior, hands-on IC
