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.

• Bachelorxe2x80x99s degree required in computer sciences, or equivalent and relevant work experience in a software Testing environment.

• 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)