Data QA Engineer

4 days ago

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💰 $7.5M Series A on 2022-02

Description

•Take ownership of end to end data quality. •Understand and Contribute to the event model design. •Build and automate testing frameworks around data ingestion pipelines. •Write complex SQL queries on tables with hundreds of millions of records and ensure data integrity is maintained throughout the ETL lifecycle. •Design test cases and write python/SQL scripts to validate data integrity and identify gaps and opportunities in our pipelines. •Track data issues and work with team leads from discovery to resolution. •Collaborate with the analytic teams to conduct data quality investigations, improve automation and tools. •Review current tools and enhance them to help with data integrity.

Requirements

•5+ years of work experience in QA, preferably in data or relevant space. •Demonstrable knowledge, experience, skill, and proficiency with the following: Scrum/Agile methodologies, SDLC, Python (at least reading), SQL. •Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing. •Must be self-motivated, able to work independently, and thrive in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide variety of functional areas. •Excellent verbal and written communication skills.