Grade ( relevant for internal applicants only ): 9
The Climate Service, an S&P Global company, provides climate analytics to help the world's financial institutions and Fortune 500 companies to measure the financial risk from climate change. We are a fast-growing team on a mission to embed climate data into global decision-making. We believe this will accelerate the transition to a low-carbon economy, and help make the world more resilient to the most important challenge of our time.
The Team: We are looking for a highly motivated, enthusiastic, and skilled engineer for the Climanomics (r) platform. This engineer would help us to accelerate our Climate Analytics work.
The Impact: The Quality Engineer will work to improve and enhance the scalability, and performance of our cutting-edge Climanomics (r) platform
What's in it for you: It's a fast-paced agile environment that deals with huge volumes of data, so you'll have an opportunity to sharpen your data skills and work on an emerging technology stack
Perform analysis and articulate solutions.
Design underlying engineering for use in multiple product offerings supporting a large volume of end-users.
Develop project plans with task breakdowns and estimates.
Manage and improve existing solutions.
Solve a variety of complex problems and figure out possible solutions, weighing the costs and benefits.
Perform other duties as assigned
What We're Looking For:
Bachelors/Master's Degree in Computer Science, Information Systems or equivalent.
3+ years' experience in Test Automation QA
Work as part of the engineering team to analyze the functionality of applications and design automated tests to validate functional and non-functional requirements
Build and maintain a library of automated regression tests
Integrate regression testing into the build and deployment pipelines
Smoke test environments post deployment to ensure applications functions properly
Identify software application weaknesses and target areas.
Report and review software bug reports highlighting problem areas.
Identify quality issues and create test reports.
Collaborate with the engineering team to solve application faults.
Work on a highly collaborative and growing team in an Agile environment
Familiarity and/or enthusiasm with Data Science / Machine Learning is a plus
Experience working in cloud computing environments such as AWS, Azure, or GCP
Experience in Databricks, SnowFlake
Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $68,300 to $155,900. Base salary ranges may vary by geographic location. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
About Company Statement:
S&P Global delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you'll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.
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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.