Data QA Lead - Toronto, Canada - Cognizant
Description
**: We are seeking a hardworking Lead Quality Engineer to join our growing team in our insurance practice at Cognizant Our strength is built on our ability to work together. Our diverse set of backgrounds offer a wide range of perspectives and new ways of thinking. It encourages lively discussions, inspires thought leadership, and helps us build better solutions for our people and clients. We're looking for someone who thrives in this setting and is encouraged to craft significant solutions through true partnership.- Ability to understand sophisticated business logic and sourcetotarget mapping artifacts.
- Familiar with disparate data sources and file formats.
- Ability to build validation queries and automation for test use cases.
- Build and run data queries to identify coding issues and data exceptions
- Ability to test large datasets to determine data quality and integrity.
- Collaborate with Data Engineers on nonfunctional requirements and validation.
- Communicate validation results through regular test execution reports and keep collaborators advised.
- Evaluate system performance and design and its effect on data quality.
- Minimum technical requirements: SQL,
Python/PySpark, Alteryx, Excel, Jira, Confluence, and Zephyr: - Excellent interpersonal and communication skills
Technical Skills
SNo
Primary Skill
Proficiency Level
Rqrd./Dsrd.
- 1 Selenium PL4 Required
Proficiency Legends
Proficiency Level
Generic Reference
- PL1
- The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
- PL2
- PL3
- PL4
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