About the Role:

Grade Level (for internal use):

TheRole:

QA Data Specialist - Software Development Engineer in Test II

The Team:

Our central data and reporting functionserveas the organizational hub for all data spanning financials to inventory uniquely positioning us to innovate and buildcutting-edgedata products and AI/ML solutions for internal stakeholders. We foster a collaborative environment that values experimentation data-driven decision making and continuous learning where team members regularly share knowledge about the latest AI developments and methodologies. The teammaintainsa culture of intellectual curiosity where experienced practitioners mentor team members and provide meaningful projects that contribute to real-world applications.

The Impact:

Asa Quality Engineer managing AI systems you will play a crucial role in developing and optimizing testing frameworks thatutilizeAI algorithms to enhance the testing process across Web/Mobile/API/Services. Your challenge will be to reduce the time to market for products while ensuring quality by implementing AI-driven test optimization techniques. You will work with a variety of advanced technologies and collaborate with different internal teams.

Whatsin it for you:

• Collaborate with a team of highly skilled ambitious and result-oriented professionals focused on AI advancements.

• Utilizecutting-edgeAI technologies to innovate testing methodologies and enhance automation.

• Experience a dynamic environment that allows you to think and act like a developer while fulfilling QA responsibilities.

• Engage in a culture that promotes urgency and proactive approaches in quality assurance.

• Opportunities for skill enhancement knowledge sharing and innovation in AI-driven testing solutions.

• Build a rewarding career with a global leader in financial technology.

Responsibilities:

• Design and develop comprehensive test strategies for data engineering pipelines and AI-driven systems ensuring data quality integrity and reliability across platforms such as Databricks Microsoft Fabric and Power BI while implementing automated regression suites that are maintainable and reusable.

• Validate data transformations ETL/ELT processes and data workflows by creating test cases that verify data accuracy completeness and consistency across source systems data lakes and analytical platformsutilizingSQL Python orPySparkfor data validation.

• Implement AI algorithms and machine learning techniques to analyze testing scenarios optimize test case selection and enhance test coverage for data pipeline testing reducing time-to-market whilemaintainingquality standards.

• Collaborate with data engineering development and business intelligence teams in an Agile environment to ensuretimelydelivery of data solutions and business functionalities that meet quality acceptance criteriaparticipatingin sprint planning technical reviews and requirement analysis sessions.

• Develop and execute performance testing strategies for data pipelines and Power BI reports monitoring data processing efficiency query performance and dashboard responsiveness to ensureoptimaluser experience and system scalability.

• Provide technical guidance to the development team around QA inner workings automation frameworks and AI-enhanced testing methodologies while gathering quality metrics to drive continuous improvement initiatives and risk mitigation strategies.

WhatWereLooking For:

Required Qualifications:

• 3 years of experience in software testing or development withdeepunderstanding of testing methodologies coding and debugging including hands-on experience with data quality testing and validation across data engineering platforms.

• Proficiencyin programming languages such as Python Java or C# with strong SQL/PL-SQL skills for database interactions and data validation and experience with big data processing languages such asPySparkor Scala for testing data pipelines.

• Hands-on experience with data engineering and analytics platforms such as Databricks Microsoft Fabric or Azure Data Factory and business intelligence tools like Power BI Tableau or similar visualization platforms for testing dashboards and reports.

• Experience designing and developing automated testing frameworks using tools such asAccelQ Tosca SeleniumPytest or Great Expectations withabilityto create test automation for multiple layers including UI API Services and data validation.

• Strong understanding of ETL/ELT processes data warehousing concepts and data lake architectures withabilitytovalidatedata transformations data quality rules and end-to-end data pipeline workflows.

• Familiarity with Agile/Scrum methodologies CI/CD practices and version control systems such as Git GitHub or Azure DevOps with experience working in collaborative fast-paced development environments.

Preferred Qualifications:

• Experience with AI-driven testing tools and platforms including machine learning frameworks such as TensorFlowPyTorch or scikit-learn withdemonstratedability to implement intelligent test optimization and predictive analytics for quality assurance.

• Knowledge of cloud platforms such as Azure AWS or GCP with experience in testing cloud-native data solutions serverless architectures and containerization technologies such as Docker Kubernetes or Azure Container Instances.

• Exposure to data quality frameworks and tools such as Apache GriffinDeequ or Monte Carlo with understanding of data observability practices data lineage tracking metadata management and experience with data pipeline technologies including Databricks Delta Live Tables (DLT) for ensuring end-to-end data quality.

• Experience with Behavior Driven Development (BDD) frameworks such as Cucumber orSpecFlow performance testing tools like JMeter or Locust and familiarity with API testing tools such as Postman REST Assured or SoapUI.

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity Discovery Partnership

Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

• Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a domain or any other regionally based domains it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications interviews offer letters pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines fraudulent domains and how to report suspicious activityhere.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity color religion sex sexual orientation gender identity national origin age disability marital status military veteran status unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability please send an email to:and your request will be forwarded to the appropriate person.

US Candidates Only:Know Your Rights: Workplace discrimination is illegal