Senior Data Quality Assurance Engineer

JOB REQUIREMENTS : At CoreLogic, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric.

CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem.

Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world.

Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking;

it 's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset.

At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we 're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description : Ignite Innovation with Your Data Expertise This is not your typical QA role; it 's an opportunity to fuse engineering prowess with business acumen, ensuring our data offerings are not just accurate but truly impactful.

Key Responsibilities : Data Quality Prowess : Test, analyze, and develop tools to meet the data quality validation needs for our cloud platform-based applications.

Strategic Test Case Creation : Craft test cases that align with business requirements, showcasing your ability to understand and address critical data scenarios.

Automation Mastery : Develop automation scripts, frameworks, and tools toelevate the efficiency and effectiveness of QA deliverables, setting the stage for continuous improvement.

Collaborative Engagement : Work closely with delivery teams to guarantee the highest quality of data, emphasizing collaboration to ensure seamless integration of QA processes.

Business-Centric Approach : Understand the business drivers for our data solutions, unraveling key performance indicators (KPIs) around the prefill data we provide to clients.

Client Interaction : Engage with clients to comprehend the business value they seek, effectively showcasing and selling the data solutions we offer.

Tech Savvy : Leverage your expertise in data engineering technologies, including GCP, C#, PostgreSQL, Google Big Query, Snowflake, and Matillion, to build robust data quality tests.

Problem Solver : Triage production issues and provide support, showcasing your troubleshooting skills in a fast-paced environment.

UAT Facilitation : Facilitate User Acceptance Testing (UAT) when needed, ensuring a seamless transition from development to production.

Job Qualifications : Qualifications : Experience Matters : 5-7 years overall in Quality Assurance, with a minimum of 4 years in test automation development and tools.

Automation Proficiency : Demonstrated experience in QA automation with a focus on data quality. Database Expertise : Proficient in PostgreSQL or related database, with strong SQL query skills for data validation and comparison.

Tech Toolbox : Familiarity with data warehousing / ETL tools such as Informatica, Google Big Query, Snowflake, and Matillion.

Unit Testing Guru : Proven experience in writing robust unit tests, covering edge cases, usability, and general reliability.

Big Data Handling : Exposure to handling large data sets is strongly preferred. Independent Operator : Ability to work independently in a dynamic environment with strict timelines.

Analytical Mind : Excellent organizational, troubleshooting, and analytical skills are required. Communication Pro : Strong communication and documentation skills to convey testing findings and observations effectively.

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