Moody's is hiring for Associate Programmer Analyst

• Undergraduate/first-level degree (e.g., Bachelor’s degree) B. Tech / B.E (CS/IT) or MCA
• 0-1+ years of QA experience in internship, prior work experience or coursework
• Basic understanding of the SDLC
• Familiar with relational or NoSQL databases and good knowledge in coding SQL scripts
• Basic understanding of Web-based technology architecture and data structures
• Willing to learn new technologies; capable of self-directed learning
• Works well in a fast-paced team environment; able to work under pressure to meet tight deadlines
• Good verbal and written communications skills
• Good analytical and diagnostic skills as well as attention to detail
• Basic understanding of the QA processes, methodologies and Software Testing Lifecycle

• Functional Testing:
• Basic knowledge of databases and SQL scripts
• Basic functional domain knowledge

• Automation Testing:
• Basic knowledge of one or more object oriented programming languages C#, Java, etc.
• Basic knowledge of one or more scripting languages JavaScript, Perl, python, bash, etc.
• Basic knowledge of one or more automated testing tools Selenium, Soap UI, etc.
• Basic knowledge of databases SQL, Oracle, etc.

• Performance Testing:

• Basic knowledge of performance testing process.
• Basic knowledge of one or more performance testing tools LoadRunner, JMeter, Performance Center, Gatling, etc.
• Basic knowledge of one or more programming languages C, Java, C#, Python, etc.
• Basic knowledge of databases SQL, Oracle, etc.
• Basic knowledge of network protocols, such as HTTP, FTP, SMTP etc.

• Write and execute basic automated and manual tests.
• Use bug tracking systems to submit and track defects.
• Analyze the results of the basic tests that you have performed.
• Maintain software testing artefacts.
• Use simple queries to create test data and analyze results.
• Write and execute basic automated and manual tests.
• Use bug tracking systems to submit and track defects.
• Analyze the results of the basic tests that you have performed.
• Maintain software testing artefacts.
• Use simple queries to create test data and analyze results.