GCP Data Quality Test Engineer with retail domain - Dallas, Texas, , United States
5 hours ago
Job description
Job Title: GCP Data Quality
Test Engineer with retail domain
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Location: 100% Remote
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Job
Summary: <\/span><\/b>
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We are
seeking a highly skilled Quality Assurance (QA) Data Engineer to join our
Enterprise Data Platform (EDP) Delivery teams. This role involves developing
and implementing test strategies, ensuring data accuracy Application
performance and integrity, and optimizing data pipelines within the Google
Cloud Platform (GCP) ecosystem. The ideal candidate will have a strong
background in data engineering, test automation, and cloud technologies, with
expertise in SQL and general understanding of BigQuery and Dataflow. Familiarity
with the organization's data and business process, along with proficiency using
software management and collaboration tools such as Jira, Confluence, and
SharePoint. <\/span>
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Key Responsibilities:<\/b> <\/span><\/p>
· <\/span><\/span><\/span>Partner with Data Engineers, Analysts,
and business stakeholders to define quality requirements. <\/span><\/span>
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· <\/span><\/span><\/span>Document test cases, data validation
rules, and best practices for scalable data governance. <\/span><\/span>
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· <\/span><\/span><\/span>Develop and implement test cases for
ETL/ELT pipelines, data transformation, and ingestion processes. <\/span><\/span>
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· <\/span><\/span><\/span>Perform data validation, execute test
cases (manual or automated) and analyze results. Regression testing ensures
sufficient error validation is present. Reconcile variances and data anomalies
to ensure high -quality data. <\/span><\/span>
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· <\/span><\/span><\/span>Validate data transformations and
ingestion processes for structured and unstructured data. <\/span><\/span>
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· <\/span><\/span><\/span>Monitor and troubleshoot data issues,
failures, and inconsistencies across the pipeline. <\/span><\/span>
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· <\/span><\/span><\/span>Provide support for root cause analysis
and resolution of data -related defects, including the identification of code
changes. <\/span><\/span>
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· <\/span><\/span><\/span>Document and track defects, providing
detailed reports to development teams for resolution. <\/span><\/span>
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· <\/span><\/span><\/span>Participate in the design and
implementation of automated testing scripts to improve testing efficiency. <\/span><\/span>
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· <\/span><\/span><\/span>Conduct regression testing to ensure
that new code changes do not adversely affect existing functionality. <\/span><\/span>
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· <\/span><\/span><\/span>Perform post -release and
post -implementation validation of software performance in production
environments. <\/span><\/span>
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· <\/span><\/span><\/span>Continuously monitor and evaluate the
quality of software deliverables, providing feedback for improvement
opportunities. <\/span><\/span>
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· <\/span><\/span><\/span>Collaborate with end users to gather
feedback. <\/span><\/span>
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Qualifications & Skills:<\/b>
•Must -Have:<\/b> <\/span><\/p>
· <\/span><\/span><\/span>?3 -5+ years of experience in data
engineering, data testing, or quality assurance. <\/span><\/span>
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· <\/span><\/span><\/span>?Strong proficiency in advanced SQL, and
data validation frameworks. (test strategies). <\/span><\/span>
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· <\/span><\/span><\/span>Familiarity with GCP data services
(BigQuery, Dataflow, Dataproc, Cloud Storage) and Python. <\/span><\/span>
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· <\/span><\/span><\/span>Familiarity with automated testing
frameworks for data (e.g., Great Expectations, dbt tests). <\/span><\/span>
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· <\/span><\/span><\/span>Able to be hands -on with data and create
test cases for stated requirements. <\/span><\/span>
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· <\/span><\/span><\/span>Experience working with and integrating
Retail Data. <\/span><\/span>
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<\/div><\/span>
Requirements<\/h3>
Nice -to -Have:<\/span><\/b> <\/span>
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· <\/span><\/span><\/span>Familiarity with organization's data and
business process. <\/span><\/span>
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· <\/span><\/span><\/span>Understanding data concepts, including
storage, retrieval and analysis. <\/span><\/span>
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· <\/span><\/span><\/span>An understanding of ETL/ELT processes,
data modeling, and schema design. <\/span><\/span>
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Regards,<\/span>
<\/p>
<\/div><\/span>
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