Data Quality Engineer

Overview

Hybrid
$45+
Contract - W2
Contract - 12 Month(s)

Skills

Automated Testing
X-Ray
TestRail
Zephyr
ETL
SQL
Power BI
SAP BusinessObjects
Tableau
Dundas BI

Job Details

Data Quality Engineer

12+ Months Contract - Potential to Convert

HYBRID - Tues-Thurs in office; Monday and Friday Remote - Brown Deer, WI 53223

- Not all of the tools have been identified for this project. It s more important that candidates have practical experience with automated testing (such a X-Ray, TestRail, Zephyr, etc.), ETL and SQL than any specific tool.
- They should have experience with business intelligence tools. PowerBI is preferred, but SAP BusinesObjects, Tableau, Dundas BI will work as well.

We are seeking a highly skilled and detail-oriented Data Quality Engineer to join our dynamic team. The ideal candidate will have a strong background in SQL, data warehousing, ETL processes, and test automation. This role requires a proactive individual who ensures the accuracy, integrity, and reliability of our data systems.
Notes from Hiring Manager:
- Is there any rate flexibility? There is a range for each position posted; won t go higher than that.
- Will there be on-site interviews or will all be via Teams call/video? Teams only.
- Are you looking for a mid-level person? 3-5 years experience
- Clarity of the Hybrid schedule: Tues-Thurs in office; Monday and Friday remote
- Not all of the tools have been identified for this project. It s more important that candidates have practical experience with automated testing (such a X-Ray, TestRail, Zephyr, etc.), ETL and SQL than any specific tool.
- They should have experience with business intelligence tools. PowerBI is preferred, but SAP BusinessObjects, Tableau, Dundas BI will work as well.
Job-Specific Details:
What this position will be supporting: Business Objects Replacement
Must have requirements: Data warehouse ELT/ETL, Cloud Projects, SQL, PL/SQL, PowerBI, Python, Snowflake, Excel
Work schedule: 8AM-5PM Central Time
Interview process: 3 rounds - HM, Director, VP

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