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Senior Data Quality Engineer

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Brasília, Brasil Ntconsult Tempo inteiro
The company:

We are a global custom software development and IT project staffing organization without geographic restrictions; we operate globally, navigating technology and business challenges with expertise. Our U.S. headquarters are in San Diego, California and we also have strategically located development centers in Brazil, Mexico, Peru, and Uruguay. Our Latin America headquarters are based in Porto Alegre, Brazil, with a branch in São Paulo. For over two decades, we have been globally recognized in the software and innovation market for delivering projects with added value, crafted by agile teams of skilled professionals. Check out our international page at:

project:

We are looking for an exceptional Data Quality Engineer for this fully remote opportunity to work with a US-based client in the IT industry. They

help clients align their engineering output with business outcomes, deliver projects with confidence, and prove the value of their engineering team.

Responsibilities:

Advocate for data quality best practices and design strategies for improving data quality.

Develop test plans specific to data processing pipelines.

Implement, maintain, and execute manual and automated tests centered around data processing pipelines.

Create and maintain company-wide standards around data quality.

Make recommendations for process and data quality improvement.

Collaborate with engineers to define and implement mechanisms to inject testing earlier into the software development process.

Collaborate with cross-functional teams to ensure quality and timely delivery of products.

Develop and execute manual and automated test cases for software applications to ensure the reliability of data pipelines, ETL processes, and data transformations.

End to end integration testing between multiple independent systems and interfaces.

Conduct functional, integration, regression, and performance testing of database systems using industry-standard technologies (SQL, Python, iceDQ, etc.).

Create and maintain documentation of test plans, test cases, and testing results.

Requirements:

3+ years of specific experience in data quality engineering.

Python experience or high skill in another scripting language.

Experience with SQL.

Efficient use of REST APIs for data quality testing.

Experience working with complex hierarchical and graph data.

Basic Mathematical Reasoning.

Advanced knowledge of building and contributing to QA automation frameworks.

Experience with iceDQ or similar.

Experience testing for safe concurrency.

Expert grasp of relational database concepts.#J-18808-Ljbffr