Data QA Engineer

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🕒 April 1

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Ex Parte

WebsiteLinkedInAll Job Openings

1 - 10 employees

⚖️ Legal

💼 Consulting

🛡️ Insurance

💰 $7.5M Series A on 2022-02

Legal • Consulting • Insurance

Ex Parte is a company that utilizes artificial intelligence and machine learning to predict the outcomes of litigation, offering their customers a winning advantage in legal battles. The company focuses on providing innovative solutions that help clients navigate and succeed in the legal field by leveraging advanced technologies.

📋 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 • Applied experience with Databricks and/or Azure ML (Preferred) • Strong coding abilities in one or more scripting languages like Python or SQL (Preferred) • Understanding of compliance, security, and risk domains along with associated patterns and data elements (Preferred) • Use of one of the following vendor reporting solutions: PowerBI or Tableau (Preferred) • Understanding of product and services activation, use, and transaction models and data (Preferred) • Understanding of statistical analysis and machine learning tools and practices (Preferred) • 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 (Preferred) • Familiarity with Agile software delivery including application lifecycle management (Jira/Azure DevOps/VSTS, Git) (Preferred).

🏖️ Benefits

• All your information will be kept confidential according to EEO guidelines.