Description:

Design, build, and run systems for data products, including ingestion, processing, analytical storage, and serving.
Own work from design to production, focusing on performance, reliability, and cost efficiency.

Requirements:

5+ years of experience in production data systems, including ETL/ELT pipelines.
Expert in Python and strong SQL skills; experience with asyncio and concurrency.
Proficient in Go for backend services and ClickHouse in production.
Experience with Databricks, PySpark, Delta Lake, and Unity Catalog.
Hands-on experience with large-scale data pipelines over billions of rows.
Familiarity with Kafka, Airflow, Kubernetes, and cloud platforms (Google Cloud preferred).
Strong operational and communication skills, including documentation and incident reviews.

Skills

Benefits