
Data QA Engineer
As a Data QA engineer, you will be responsible for validating data pipelines and ensuring the accuracy of the datasets that are produced. You will use various testing techniques including automated tests, statistical analysis tests, scripting to produce QA reports that will support the development teams and also final data quality reports to accompany the final deliverables. You will work with a cross functional development team that is responsible for development and delivery of a marque Watson Health Offering – MarketScan.
3 or more years of increasing technical knowledge and growth
Proficient in Unix (AIX) and Linux
Skilled in Data Wrangling and Exploratory Data Analysis (EDA)
Python
Scala
SAS
Spark
Data Analystics
BASH scripting
Time Management Skills
Verbal communication
written communication
Problem-Solving
Detail Oriented and Organized
Multi tasker
Flexibility and adaptability
Driven for excellence
According to JobzMall, the average salary range for a Data QA Engineer in 555 Bailey Ave, San Jose, CA 95141, USA is $90,000 to $130,000 per year. This salary range may vary based on the employer, experience, and qualifications of the employee.
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International Business Machines Corporation is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries.

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