About
3-5+ years of experience in data engineering and data architecture. Experience working with Software Engineering and DevOps as part of the Product development lifecycle. Demonstrated experience building data models for capturing software application telemetry and website traffic for Product usage & site visitor analytics. Demonstrated experience building data models for capturing billing and subscriber transactions to support revenue and retention analytics. Expertise in
SQL, dbt, Python , batch & streaming processing, change data capture, orchestration, scheduling, and data migration best practices - experience with
Postgres, Snowflake, Airflow, and Dagster preferred . Hands‑on expertise designing data quality & pipeline observation, monitoring, and alerting best practices. Knowledge of or experience with advertising/adtech business models preferred. Ability to integrate analytic data pipelines into Business Intelligence tools -
Looker preferred . Knowledge of or experience with
GitHub
for code management.
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Languages
- English
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