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The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.
While we have many employees who are not Catholic, we follow the Church’s teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.
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Overview
The ETL and Data Warehouse Test Engineer is responsible for designing, developing, and executing test plans and test cases to ensure the quality and accuracy of data flows and data transformations in our data warehouse environment. This role focuses on validating ETL processes, data integrity, and data warehouse components using both automated and manual testing techniques. The ideal candidate has hands-on experience with Azure platforms, the Snowflake platform, Talend, and a strong understanding of regression testing to support continuous integration and deployment within a cloud-based environment.
Core Responsibilities
- Test Planning and Strategy: Develop and execute comprehensive test plans, test cases, and test scripts for ETL processes, data warehouse structures, and data integrations.
- ETL and Data Warehouse Testing: Conduct end-to-end testing of ETL processes to ensure data accuracy, completeness, and transformations in line with business requirements.
- Regression Testing: Design and perform regression testing to validate existing functionality and data pipelines, ensuring the stability of the data environment across updates.
- Platform Expertise: Use Azure Data Services (Azure Data Factory, Azure Synapse Analytics, etc.) and the Snowflake platform to validate data pipelines, transformations, and warehousing solutions.
- Perform tasks spanning the full lifecycle of data management activities including but not limited to defining completeness, accuracy, and consistency specifications by data element, writing scripts, and developing tools to monitor quality, and building defining and implementing controls for key data quality measures.
- Automation and Scripting: Create and maintain automated test scripts and frameworks for ETL processes and data validation, leveraging tools like Talend for ETL job automation
- Data Quality and Integrity Checks: Perform data quality, integrity, and accuracy checks, identifying and troubleshooting data discrepancies and implementing corrective actions.
- Collaboration: Work closely with data engineers, data architects, and business analysts to understand requirements, data flows, and business logic, ensuring thorough testing coverage.
- Reporting and Documentation: Document and report defects, issues, and enhancements; track progress on defect resolution and update stakeholders on testing status.
Skills Qualifications
- Strong understanding and experience in development activities for all aspects of Software Development Life Cycle (SDLC). Data Vault Methodologies
- Excellent problem solving and critical thinking skills
- Effective communication skills with an ability to explain technical concepts to developers, product managers, and business partner.
- Knowledge and experience with database design principle including referential integrity normalization, and indexing to support application development
Education
- Bachelor’s degree or master’s degree in a quantitative field such as Computer Science and Information Systems, Database Management, Big Data, Data Engineering, Data Science, Applied Math, etc.
- 5+ years of professional data test engineering working experience.
Preferred:
- 3+ years of experience working with large data and variety of data sources.
- Experience in Data Vault 2.0 methodology
- Experience working in virtualized cloud environment including cloud-based IaaS/SaaS/PaaS solutions
- Experience in Power BI, and SQL
Authorization To Work In The United States Is Required.
This position is not eligible for visa sponsorship.
Physical Demands
Must be able to remain in a stationary position for a majority of the workday.
