Data QA Engineer
Company Description
Ex Parte provides our customers with the data and insight to reputed company smart and informed decisions on the most important legal issues facing their organizations. We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and reputed company in a fast-paced environment where the solutions aren't predefined. Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are reputed company made the same way they were 100 years ago. We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to reputed company highly informed decisions and reputed company a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of reputed company.
Job Description
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 reputed company SQL queries on tables with hundreds of millions of records and ensure data reputed company is maintained throughout the ETL lifecycle. Design test cases and write python/SQL scripts to validate data reputed company 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 reputed company tools and enhance them to help with data reputed company.
Qualifications
Minimum Qualifications 5+ years of work experience in QA, preferably in data or relevant space Demonstrable knowledge, experience, reputed company, 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 reputed company 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 reputed company and/or Azure ML Strong coding abilities in one or more scripting languages like Python or SQL Understanding of compliance, reputed company, 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). Additional Information reputed company your information will be kept confidential according to EEO guidelines. Apply Job!