Contribute to the development of an engaging and interconnected set of system solutions.
Enhance the experiences of customers, solve interesting challenges, and design new solutions.
Collaborate with Data Engineers, Analytics Engineers, Data Scientists, Product Managers, and Platform Engineers to design tests and validate business logic in analytical pipelines.
Own quality for analytics deliverables and data platform features within your area. Establish test strategies and define appropriate test coverage for pipelines, models and metrics.
Requirements
Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
Required: 4+ years of testing or SDET experience with a strong emphasis on data systems and analytics. Demonstrated experience writing tests for data pipelines, validating analytical outputs, or building test frameworks for ETL/ELT processes.
Required: Proficiency in SQL and at least one general-purpose programming language used for data processing (Python preferred; Scala/Java acceptable).
Required: Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), and familiarity with at least one orchestration or streaming technology (Airflow, Kafka, Spark).
Preferred: Experience with dbt, data observability platforms (e.g., Monte Carlo), data modeling, and analytical/BI tools (Looker, Tableau, PowerBI, etc.). Experience testing ML models, A/B test validation, or statistical methods is a plus.