Data QA Engineer

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

<p><strong><u>Minimum Qualifications</u></strong></p><ul><li><p>5+ years of work experience in QA, preferably in data or relevant space</p></li><li><p>Demonstrable knowledge, experience, skill, and proficiency with the following:</p><ul><li><p>Scrum/Agile methodologies</p></li><li><p>SDLC</p></li><li><p>Python (at least reading)</p></li><li><p>SQL</p></li></ul></li><li><p>Experience with different facets of QA tests such as functional progression &amp; regression, integration, performance, load, UAT, and operational readiness testing</p></li><li><p>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</p></li><li><p>Excellent verbal and written communication skills<br>&nbsp;</p></li></ul><p><strong><u>Preferred Qualifications</u></strong></p><ul><li><p>Applied experience with Databricks and/or Azure ML</p></li><li><p>Strong coding abilities in one or more scripting languages like Python or SQL</p></li><li><p>Understanding of compliance, security, and risk domains along with associated patterns and data elements</p></li><li><p>Use of one of the following vendor reporting solutions: PowerBI or Tableau</p></li><li><p>Understanding of product and services activation, use, and transaction models and data</p></li><li><p>Understanding of statistical analysis and machine learning tools and practices</p></li><li><p>Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc</p></li><li><p>Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git).</p></li></ul>