Senior Software Test Engineer (python, pyspark, SQL, databricks, playwright/ selenium)

YOU’LL BUILD TECH THAT EMPOWERS GLOBAL BUSINESSES

Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow.

As a QA Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Cloud/Bigdata Automation, Python, Pyspark, SQL, Hive, Databricks, Airflow, Performance testing other Data engineering tools. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub.

Responsibilities

Develop, troubleshoot, debug and make application enhancements and create automation framework leveraging Python/Pyspark, SQL/NOSQL as the core development languages.; Develop and build scalable automation frameworks and test suites working across technologies.; Develop Gen AI Automation solutions using AI ML Framework.; Develop documents and maintain test plans, procedures and scripts and perform well defined product level integration tests.; Implement execute and debug automated test scripts using various technologies and tools.; Perform manual testing, the scope of which will encompass all functionalities of services as prequel to automation.; Work closely with other quality and development engineers to build, evolve and maintain a scalable continuous build and deployment pipeline.; Deploy application components using CI/CD pipelines.; Build utilities for monitoring and automating repetitive functions.; Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops; Research and evaluate a variety of software products and development tools.; Provides technical guidance and support to colleagues such as code reviews, testing and software documentation as required.

Requirements

6-10 Years of years of applicable software engineering experience; Strong fundamentals with experience in Cloud/Bigdata Automation Testing, Python, Pyspark, Machine Learning, SQL, Hive, Databricks, Airflow, UI and Service Testing, Performance Testing .; Must have Pyspark / Python experience and proficient enough to create scalable big data Automation testing framework in Cloud; Hands on experience in Test Automation, Creating Automation framework in Cloud, API microservice automation.; Must have SQL knowledge.; Must have knowledge of relational databases, preferably PostgreSQL.; Must have experience in cloud technologies, preferably Microsoft Azure.; Must have experience in UI and Services functional validations.; Good to have experience in AI ML and validation using AI ML framework.; Good to have experience in Selenium, TestNG, JAVA.; Good to have experience in performance testing using Load Runner or Jmeter.; Good to have experience with DevOps Technologies as GIT Hub, Kubernetes, Jenkins, Docker.; Good to have experience on Retail Domain.; Solid understanding of software testing principles, methodologies and best practices.; Strong analytical, problem-solving skills and ability to learn and apply new technologies quickly; Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business; Minimum B.S. degree in Computer Science, Computer Engineering or related

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)