Data Quality Assurance Engineer

Description

Company Overview

Established in 1955 to provide lifetime monthly retirement benefits to Teamsters in the trucking industry, Central States Pension Fund has paid nearly $87 billion in lifetime retirement benefits. At Central States/Team Care we proudly serve thousands of Teamster members and their families through two trusted organizations:

Team Care, a Central States Health Plan

The Central States Southeast and Southwest Areas Health and Welfare Fund was founded in 1950 and was one of the first non-profit labor health funds in the United States. Since 2014, the Fund has done business under the tradename Team Care. Today Team Care covers the lives of 550,000 members, from 1,100 different employers, making it the largest labor healthcare fund in the country.

Central States Pension Fund

For more than half a century, Central States Pension Fund has blazed a trail to retirement security for over 670,000 Teamsters and their family members and revolutionized the pension world of American workers.

The Data Quality Assurance Engineer will be responsible for ETL process Data testing within Master Data Management (MDM) system, Data Warehouse, as well as Data Analytics. The successful candidate will deeply understand the needs of the organization and determine how to best test modeled data, as well as maintain and improve the health of our existing data warehouse objects and ETL processes.

Data Quality engineer is responsible for planning and executing manual and automated testing activities on new and existing products to ensure that they meet the Business, Functional and Technical specifications and maintain high overall product quality. The Data Quality Assurance Engineer must be an advocate for all things Testing and Quality while driving and implementing best practices and must possess strong analytical and critical thinking abilities.

The successful candidate is entrepreneurial at heart and open to building an entirely new set of capabilities for the organization.

• Constantly develop a deeper understanding of available data.
• Work to understand multiple operational departments and how data is captured and used within the organization.
• Become an expert in business rules, system functionality and architecture.
• Understand the current state to develop and/or enhance the data quality framework to support the Data Architecture and Data Analytics teams.
• Aptitude to evolve the current data quality processes into an enterprise data quality practice.
• Write complex SQL queries for source and target systems to verify the data for the ETL processes.
• Review business requirements, functional specifications, use cases, design, and architecture documents to create effective test plans for both ETL and data migration activities providing robust coverage.
• Independently develop, modify, and execute test plans based on requirements and design documents including, but not limited to, the following methods:
  • Load balance testing
  • Duplicate run testing
  • Negative testing with invalid test data
  • Performance/volume testing
  • Build and execute regression test scenarios
• Provide estimates and timeframe necessary for testing a project to ensure a high-quality implementation.
• Participate in data migration testing activities, including data validation, integrity checks, and reconciliation across source and target systems.
• Contribute to and maintain project documentation.
• Identify, report and track defects and User Experience issues through a system of record.
• Collaborate with external teams on root cause analysis.
• Maintain close interaction with business and technical peers during the project life cycle.
• Actively participate in requirements and code reviews.
• Actively participate and drive improvements in Agile Scrum delivery.
• Be a thought leader in the test design and execution arena (manual and automated).
• Identify process bottlenecks and suggest improvement actions.
• Creation and input of test data, either manually or by using tools, programs or masked production data to execute test cases.

Quality assurance, Automation, Quality assurance testing, Sql, Python, Manual testing, Test automation, Api,…