SP Global Careers: Quality Engineer II | Hyderabad, Gurgaon, Ahmedabad location | August 2023 | Apply Now !

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SP Global Careers: S&P Global Is hiring for a job role of Quality Engineer II for Hyderabad, Gurgaon, Ahmedabad location. Interested Jobseekers With 3+ Year Experience can apply for this job role ASAP. The detailed eligibility and application process is given below.

S and P Global Careers

SP Global

SP Global Careers – Quality Engineer II:
About S&P Globalspglobal.in
Job ID277560
Job Role
Quality Engineer II
Experience3+ Years of Experience
Qualification
Bachelor’s/Master’s Degree in Computer Science, Information Systems or equivalent
Salary
Not Disclosed
Job Location
Hyderabad, Gurgaon, Ahmedabad
Job Posting Date 
19 – August – 2023
Apply before
ASAP

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The Team:

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.

Responsibilities
  • 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

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Basic Qualifications
  • 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 analyse 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
Preferred Qualifications
  • 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

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