Job
Description
Primary Responsibilities Experience in writing complex SQL queries and experience with any data visualization tool is preferable e.g., Tableau, Power BI. Good exposure of Software Testing methodologies, Implementation of Data Lakes, Data warehouse/ETL projects, Big Data projects in On-Premises & Cloud Environments Experienced in SAS applications and Python Programming Ability to write SQL queries to conduct data validations and probe quality issues with data. Experience in Project Delivery Methodologies: SDLC, Iterative, Agile, Scrum, Kanban Experience in ALM Tools like JIRA, TFS (Azure Devops) & Confluence. Knowledge on data quality fundamentals and data governance concepts. Hands-on experience with all levels of testing includes Smoke Testing, Integration Testing, System Testing and Regression Testing. Knowledge of PL-SQL, PySpark & SQL, on framing and tuning the Queries so that it covers all the data scenarios. Accountable for high quality and on time delivery for task assigned. Qualifications: Education: Bachelors degree required in computer sciences, or equivalent and relevant work experience in a software Testing environment. Experience: Around 3 to 6 years of experience in Software Quality Testing. Prior testing experience with pharmaceutical related software, preferred. In-depth understanding of software quality assurance, preferably in a Clinical Data environment. Ability to write SQL queries to conduct data validations and probe quality issues with data. Experience in Project Delivery Methodologies: SDLC, Iterative, Agile, Scrum, Kanban Knowledge and understanding of the Software Development, Life Cycle (SDLC) testing methodology and document management. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Experience in writing test cases based on product requirements. Experience working closely with development and business teams to communicate problem impacts and to understand business requirements. Shows creativity and initiative to improve product test coverage and effectiveness (preferred)
