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Data Quality Engineer

Ampcus Inc
Milwaukee, WI, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
jobs.localjobnetwork.com

Tech stack

Automation of Tests Extract Transform Load (ETL) Data Systems Data Warehousing Power BI SQL Databases Tableau (Software) Sap Business Objects Testrail

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Data Quality Engineer Location: Milwaukee, WI (Hybrid) Job Description

Requirements

  • 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.

Experience:

  • Experience with automated testing (such as 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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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Balancing data science skillings alongside systems engineering rigor

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Classifying and anonymizing data during system design

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6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

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World Congress 2024 • about 2 years ago

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Europe 2026 Virtual • 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

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World Congress 2023 • almost 3 years ago

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The Data Mesh as the end of the Datalake as we know it

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