Jobs via Dice
100% Remote position - Need Quality Assurance Analyst.
Jobs via Dice, Jackson, Mississippi, United States, 39200
100% Remote – Quality Assurance Analyst
Remote, full‑time position focused on data quality validation for Azure Synapse/SQL, ETL pipelines, and data lake transformations.
Responsibilities
Review and validate output of SQL and ETL development to ensure data accuracy, consistency, and alignment with business rules.
Develop and execute detailed data test plans, test cases, and validation scripts targeting Azure Synapse, stored procedures, and data transformations.
Reconcile data between source systems, staging areas, and curated data layers in Azure Data Lake or Synapse.
Conduct regression testing on modified pipelines, stored procedures, or data models to confirm changes do not introduce new issues.
Collaborate with data engineers, ETL developers, and business analysts to document and resolve data discrepancies.
Maintain data QA documentation including test results, issue logs, and validation procedures.
Support development of automated data quality checks or unit tests using SQL, Python, or other approved tools.
Contribute to continuous improvement of QA processes, data validation frameworks, and DevOps testing integration.
Qualifications
Bachelor’s degree in Computer Science, Information Systems, or related field.
Minimum 2–3 years of QA experience focusing on data quality for data warehousing or ETL environments.
Strong SQL skills; experience with PL/SQL or T‑SQL preferred.
Hands‑on experience with Azure Synapse, Azure Data Factory, or Synapse Pipelines.
Experience with DevOps practices (CI/CD, automated testing, Git, Azure DevOps) is a plus.
Strong analytical, problem‑solving, and documentation skills.
Excellent verbal and written communication; ability to collaborate with cross‑functional teams.
Preferred Skills
Database entity design and data modeling expertise.
Experience with Oracle, SQL Server, or database development lifecycle.
Knowledge of Scrum/Agile methodologies and full SDLC.
Familiarity with C#, Visio, or diagramming tools.
Previous work creating data quality documentation or automated checks.
Employment Information
Seniority level: Mid‑Senior
Employment type: Full‑time
Job function: Quality Assurance
Industry: Software Development
Key benefit: 100% remote, full‑time data QA role for an Azure‑based data platform.
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Responsibilities
Review and validate output of SQL and ETL development to ensure data accuracy, consistency, and alignment with business rules.
Develop and execute detailed data test plans, test cases, and validation scripts targeting Azure Synapse, stored procedures, and data transformations.
Reconcile data between source systems, staging areas, and curated data layers in Azure Data Lake or Synapse.
Conduct regression testing on modified pipelines, stored procedures, or data models to confirm changes do not introduce new issues.
Collaborate with data engineers, ETL developers, and business analysts to document and resolve data discrepancies.
Maintain data QA documentation including test results, issue logs, and validation procedures.
Support development of automated data quality checks or unit tests using SQL, Python, or other approved tools.
Contribute to continuous improvement of QA processes, data validation frameworks, and DevOps testing integration.
Qualifications
Bachelor’s degree in Computer Science, Information Systems, or related field.
Minimum 2–3 years of QA experience focusing on data quality for data warehousing or ETL environments.
Strong SQL skills; experience with PL/SQL or T‑SQL preferred.
Hands‑on experience with Azure Synapse, Azure Data Factory, or Synapse Pipelines.
Experience with DevOps practices (CI/CD, automated testing, Git, Azure DevOps) is a plus.
Strong analytical, problem‑solving, and documentation skills.
Excellent verbal and written communication; ability to collaborate with cross‑functional teams.
Preferred Skills
Database entity design and data modeling expertise.
Experience with Oracle, SQL Server, or database development lifecycle.
Knowledge of Scrum/Agile methodologies and full SDLC.
Familiarity with C#, Visio, or diagramming tools.
Previous work creating data quality documentation or automated checks.
Employment Information
Seniority level: Mid‑Senior
Employment type: Full‑time
Job function: Quality Assurance
Industry: Software Development
Key benefit: 100% remote, full‑time data QA role for an Azure‑based data platform.
#J-18808-Ljbffr