Segment : S&P Global Market Intelligence
The Role : Software Development Engineer in Test I
Grade : 8A
The Location : Hyderabad
The Team :
The Quality Engineering team works in partnership with other Technology Functions and the Business to ensure quality delivery of our products.
The team works in an Agile environment and is located globally. The team is independent in driving all decisions and is responsible for continuously improving customer experience, revenue growth and operations enablement through quick turn-around of development of our products with high quality.
The Impact :
As an SDET II, you will make a significant contribution in building machine learning solutions and to modify / test existing ML solutions.
Your challenge will be reducing the time to market for products without compromising quality, by leveraging automation and innovation.
You will use a wide range of technologies and have the opportunity to interact with different internal teams.
What’s in it for you : Working with a team of highly skilled, ambitious and result-oriented professionals.
An ever-challenging environment to hone your existing skills in ML, Algorithms, Automation, Performance, SQL scripting etc.
A great opportunity to build ML solutions to business challenges / problems.
An opportunity to test existing machine learning models and provide detailed insights.
Being a part of an organization which values Culture of Urgency’ and Shift Left’ approaches.
A plenty of skill building, knowledge sharing, and innovation opportunities.
Using a wide range of cutting-edge technology to innovate while development / testing.
Building a fulfilling career with a global financial technology company.
Analyze large amounts of structured and unstructured information to discover trends and patterns.
Build predictive models and ML algorithms.
Combine models through ensemble modeling
Propose solutions and strategies to business challenges
Present information using data visualization techniques
Leverage tools and frameworks to build automation / performance scripts with quality code to simplify testing scenarios
Design and develop test plans, test cases based upon functional and design specifications, execute test cases and analyze and report test results to the teams
Work in partnership with the development teams to deliver business functionality on time with required quality that meets the acceptance criteria
Participate in internal / cross team meetings, project scoping, functional reviews, test specifications, technical reviews for assigned projects in an Agile environment
Participate actively in functional, system and regression testing activities
Capture quality assurance data and metrics to provide insights and conclusions
Estimate and perform risk analysis for quality delivery
What We’re Looking For :
Basic Qualifications :
2-4 years of experience in software development with good understanding of coding, testing and debugging procedures
Experience in programming using Python / C# / Java or other languages
Extensive knowledge of Machine learning frameworks, libraries, data structures, data modeling.
Designing machine learning systems and self-running artificial intelligence software to automate predictive models.
Experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, clustering, decision trees and neural networks.
Familiarity with libraries like scikit learn and frameworks like Keras, Pytorch and TensorFlow.
Turning unstructured data from various sources into useful information by text to word vector conversion, auto tagging images etc.
Solving complex problems with multilayered datasets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests on models, performing statistical analysis, and interpreting test results.
Expertise in analyzing and visualizing large datasets to derive insights and patterns.
Expertise in data processing using python libraries like pandas and numpy.
Experience of SQL / PL-SQL, writing SQL queries, stored procedures and RDBMS
Good to have experience in design and development of automated tests using automation tools (e.g. Selenium, Appium) with exposure in testing across the application layers (UI / Service / Data layers / Mobile)
Experience in advising team to identify automatable test cases at different layers (UI, Services and Data layer tests). Ability to working with developers to build automation / performance friendly code is a plus.
Experience working and testing SOAP and REST service and understanding of SOA architecture
Exposure to Behavior Driven Development (BDD) practices and experience in Agile methodology is highly desirable
Exposure to testing in CI, DevOps, rolling deployment / upgrade model is highly desirable
Experience in developing Test Plans and Test Cases, engage in Exploratory Testing, creating and maintaining Defect Reports
Demonstrate ability to explain complex technical issues to both technical and non-technical audiences
Strong communication skills and ability to produce clear, concise and detailed documentation
Excellent problem solving, analytical and technical troubleshooting skills
Bachelor's or higher qualification in Computer Science, Information Systems or equivalent is preferred
About S&P Global Market Intelligence :
At S&P Global Market Intelligence, we know that not all information is important some of it is vital. Accurate, deep and insightful.
We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk.
Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction.
S&P Global Market Intelligence is a division of S&P Global (NYSE : SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence.
For more information, visit www.spglobal.com / marketintelligence
S&P Global is an equal opportunity employer committed to making all employment decisions on the basis of merit, capability and equality of opportunity, and without regard to race / ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law, or any other characteristic that has no bearing on a person’s ability to perform his or her job.
Only electronic job submissions will be considered for employment.