Senior Software Test Engineer (ETL testing, pyspark, SQL, Azure databricks)

Job Description 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. WHAT YOU’LL DO: 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. Qualifications 6-9 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 field Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://