S&P Global Is hiring for a job role of Quality Engineer for Hyderabad location. Interested Job seekers with 2 – 4 years of experience can apply for this job role ASAP. The detailed eligibility and application process is given below.

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SP Global – Quality Engineer Recruitment details:

Abut SP Global	spglobal.com
Job Role	Quality Engineer
Experience	2+ Year experience
Qualification	BE / B.TECH / BCA / BSC / MCA / ME / M.Tech
Salary	Expected between ₹ 8 – ₹ 10 LPA
Job Location	Hyderabad
Job Posting Date	23 May 2023
Apply before	As soon as possible (Apply before link expire)

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Responsibilities:

As a Quality Engineer, you are responsible for:

Defining Quality Metrics: Defining quality standards and metrics for the current project/product. Working with all stake holders to ensure that the quality metrics is reviewed, and agreed upon.

Defining Testing Strategies: Defining processes for test plan and several phases of testing cycle. Planning and scheduling several milestones and tasks like alpha and beta testing. Thinking of continuous innovation.

Managing Risks: Understanding and defining areas to calculate the overall risk to the project. Communicating or creating awareness to all the stake holders.

Process Improvements: Challenge yourself continuously to move towards automation for all daily works and help others in the automation.

What we are looking for:
Basic Qualifications:

Bachelor’s/PG degree in Computer Science, Information Systems or equivalent.
2-4 years of strong experience in QA/testing
Experience in running queries, data management, managing large data sets and dealing with databases
Strong in Database testing
Experience in writing complex SQL Scripts. Stored Procedures, Integration packages
Experience in tuning and improving DB performance of complex enterprise class applications
Experience in automation, automation frameworks and automation delivery preferred.
Knowledge on coding skills in any programmatic language, preferable Python
Develop comprehensive test strategy, test plan and test cases to test big data implementation
Proficient with software development lifecycle (SDLC) methodologies like Agile, QA methodologies, defect management system, and documentation.