Title : Quality Assurance Engineer
The position carries the following responsibilities:
- ETL testing for validating the data sources, extraction of data, applying transformation logic,
and loading the data qualifying information while restricting duplicate records and data loss.
- Review use stories and ensure requirements are understood.
- Works with product owners and business analysts to ensure acceptance criteria accurately
captures all use cases and provide feedback where needed.
- Create detailed, comprehensive, and well-structured test plans and test cases.
- Estimate all testing activities and prioritize and coordinate all required activities
- Performs QA testing to determine completeness of requirements.
- Implement automation wherever possible
- Log all defects in a timely fashion with detailed descriptions and steps to reproduce the bug.
- Perform regression testing and keep regression scripts up to date.
- Track metrics such as open defect counts
- Attend and actively participate in all agile ceremonies
Skills Needed:
- 5+ years experience in development and or software quality assurance
- Strong SQL skills
- Experience in Automation and Dev Ops a plus
- Strong knowledge of QA methodologies, tools, and processes.
- Experience with writing clear, concise, and comprehensive test plans and test cases
- Experience working in an Agile/Scrum development process
- Good written and oral communication skills
- Very strong attention to detail and organizational skills. Strong work ethic.
- Ability to multi-task and remain flexible in fast paced environment.
- Results-orientation - takes initiative to identify areas to add value and executes quickly
- Hands on current experience with unix scripting
- Familiar with BDD testing framework
- Degree in Computer Science preferred
Keyskills: Bdd Framework Automation Unix Scripting ETL Testing SQL Agile/Scrum Qa Process Devops
Zenshastra is a startup founded by industry experts passionate about harnessing the power of artificial intelligence to solve real-world problems. Our comprehensive AI product and services innovation hub spans product design, implementation, model training, and management across various domains.