Data QA Engineer

By /

Ex Parte

job description

Ex Parte is revolutionizing the legal industry by providing organizations with the data-driven insights necessary to navigate high-stakes litigation. We are applying advanced artificial intelligence, machine learning, and natural language processing to a $250B market that has remained unchanged for a century. As an early member of our team, you will join a fast-paced, entrepreneurial environment dedicated to winning through “Moneyball” style analytics for the legal world.

About the Role

We are seeking a Senior Data Engineer with a strong focus on data quality and integrity to lead our end-to-end validation efforts. In this role, you will be the guardian of our data ingestion pipelines, building automated testing frameworks that ensure accuracy across hundreds of millions of records. You will thrive in an environment where solutions are not predefined, collaborating closely with analytics teams to resolve complex data issues and enhance the tools that power our predictive legal models.

Responsibilities

  • 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.

Qualifications

Minimum Qualifications

  • 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

Preferred Qualifications

  • Applied experience with Databricks and/or Azure ML

  • Strong coding abilities in one or more scripting languages like Python or SQL

  • Understanding of compliance, security, and risk domains along with associated patterns and data elements

  • Use of one of the following vendor reporting solutions: PowerBI or Tableau

  • Understanding of product and services activation, use, and transaction models and data

  • Understanding of statistical analysis and machine learning tools and practices

  • 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

  • Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git).

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