Staff Data Engineer
Core
Building analytics and production data ETL/ELT systems for high-volume data ingestion to support search and discovery models.
Role type
Staff Data Engineer (Search & Discovery)
Builds
Production data pipelines, logging systems, and data infrastructure for search relevance and personalization.
Domain
E-commerce, Search, Data Engineering
Deliverable
production ML models
Required skills
Data modeling, ETL, Python, SQL, Distributed processing frameworks, Distributed storage systems, ETL schedulers, Massive dataset optimization
Preferred skills
Experimentation and statistics, ML concepts and model configuration, E-commerce and search domain expertise
Technologies
HDFS, S3, Airflow, Dagster, DBT
Responsibilities
Ideate, build, and manage analytics and production data ETL/ELT systems; Partner with Data Science, Engineering, and Product to enable reliable data logging and usage; Ensure data quality, observability, and reliability across the data lifecycle; Optimize systems for performance, cost efficiency, and scalability; Define and manage SLAs for data systems; Ensure security and compliance of data.
Seniority
Staff, hands-on IC with strategic impact
