Position: Data QA Engineer, Financial Systems
Company: DataArt
Experience required: 2y
English level: upper

About the vacancy

One of the largest professional certification associations in the finance industry globally uses DataArt as its primary technology partner. This highly prestigious and recognizable organization has thousands of certified members worldwide.

Technology excellence is one of the strategic foundations of the organization. Their IT landscape is diverse and contemporary, including Azure, .NET, Salesforce, Sitecore, NetSuite, and Selenium.

The DataArt team will be expanded to several dozens of people in the future: developers, testers, architects.

Must have
- 2+ years in a quality assurance analyst role
- Strong knowledge of Quality Assurance methodologies, processes, and frameworks
- Experience designing, implementing, and executing test cases and reporting metrics on quality
- Hands-on experience dealing with data quality and implementations of data quality
- Different type of data models such as Logical, Physical
- Ability to work with large amounts of data and even assist in implementing data fixes
- Demonstrate past experiences of working with multiple groups on data quality issues
- Knowledge and experience of working and integrating with CI (TeamCity, Jenkins)
- Good knowledge of SQL
- Spoken English

Would be a plus
- Awareness of different components of data quality
- Experience with Python, Pandas
- Experience with Azure, Azure DevOps

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