via LinkedIn
$0K - 0K a year
Design and implement automated tests for data pipelines, APIs, and platform integrations, ensuring high-quality delivery in a fast-paced environment.
Proficiency in SQL, test automation tools like Selenium and Cucumber, scripting in Python, experience with data validation, and familiarity with CI/CD pipelines.
Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team. Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry. We are looking for a highly skilled SDET with a strong background in Data Integration and SQL, who thrives in fast-paced environments and is passionate about building scalable test frameworks for complex systems. You’ll play a key role in validating end-to-end data flows, APIs, and platform integrations supporting critical enterprise transformation projects. You will work closely with developers, analysts, and data engineers to ensure high-quality delivery of data and platform solutions. Required Skills • Design and implement automated tests to validate complex data pipelines, API integrations, and backend logic. • Create and maintain data mapping and transformation validation test cases. • Build and maintain robust test cases for white-box, black-box, and integration testing. • Develop test automation using tools like Cucumber, Selenium, and scripting languages. • Analyze and troubleshoot test failures in data pipeline and integration workflows. • Participate in NFR testing, UAT, and provide QA support during system go-lives. • Collaborate with cross-functional teams to support continuous integration and deployment processes. • Strong proficiency in SQL and data validation across integration pipelines. • Hands-on experience with Data Integration testing across multiple transformation layers. • Proficiency with test automation tools such as Selenium, Cucumber, Gherkin. • Deep understanding of QA concepts, test strategies, and frameworks. • Experience testing data pipelines, transformation logic, and API data exchanges. • Scripting experience in Python, Shell, or Perl. • Experience with CI/CD pipelines using Jenkins. • Comfortable working in Unix/Linux and Windows environments. • Familiarity with Agile, BDD frameworks, and fast-paced development cycles. • Experience in performance testing using tools like LoadRunner. • Understanding of system diagrams, legacy-to-modern mapping, and integration points. • Experience validating standardized API JSON formats across system hops. Our Process • Schedule a 15 min Video Call with someone from our Team • 1 Proctored GQ Tests (Multiple choice < 1 hours) • 30-45 min Final Video Interview • Receive Job Offer If you are interested in reaching out to us, please apply and our team will contact you by the end of the day.
This job posting was last updated on 1/8/2026