Lead Data Engineer @
2 weeks ago
Required Skills and Experience
- 7+ years in data engineering, including 2+ years in a leadership or architecture role.
- Proficiency in Airflow, SnowFlake, DBT.
- Advanced proficiency in Python, Spark, SQL, and cloud services (AWS).
- Experience designing and deploying large-scale Data Warehouses.
- Strong data modeling experience.
- Experience working with third-party APIs and external data sources.
- Ability to optimize system performance, ETL workflows, and data storage solutions.
- Strong communicator, capable of bridging technical and non-technical teams.
- Familiarity with adtech ecosystems (DSPs, ad servers, etc).
- Exposure to Apache Druid, AWS Glue, PySpark (our current data stack, to be replaced).
- Knowledge of design patterns and best practices for data architectures.
- Experience defining data governance.
- Familiarity with CI/CD tools.
- Knowledge of design patterns and best practices for data architectures.
- Familiarity with adtech ecosystems (DSPs, ad servers, etc).
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