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Urgent! ETL/ Datawarehouse QA Job Opening In San Antonio – Now Hiring eTeam
Responsibilities
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QA Strategy and Planning
• Define QA strategy for a hybrid ETL stack involving Informatica, and dbt for transformation/modeling.
• Analyze STTMs (Source-to-Target Mapping documents), business rules, and dbt model definitions to derive test scope.
• Plan and manage test phases across Program Increments (PIs) or releases: unit testing support, system testing, integration testing, and UAT support.
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Informatica-Specific QA Responsibilities
• Review and validate Informatica mappings, workflows, sessions, and parameter files.
• Validate:
o Source data extraction (flat files, RDBMS, mainframes, etc.)
o Data transformations via mappings (joins, lookups, aggregations, filters, etc.)
o Load strategies to staging/ODS layers (insert/update strategies, truncate/load, CDC).
• Use SQL queries and data comparison tools to perform reconciliation and transformation validation.
• Validate job dependencies and control table mechanisms (if used).
• Monitor job runs via Informatica Monitor/Workflow logs, and ensure correct execution paths.
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dbt-Specific QA Responsibilities
• Validate dbt models, tests, and documentation in the analytics layer.
• Review and test:
o Model SQL logic for business rule accuracy and performance
o YAML files for correct metadata and testing configurations
o dbt tests (unique, not null, accepted values, relationships, custom tests)
• Execute dbt test suites using dbt test and investigate failures.
• Collaborate with analytics engineers to validate , materialization strategies (table, view, incremental), and source freshness logic.
• Review generated SQL in target/compiled to ensure correct transformations.
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Data Validation & Reconciliation
• Perform full and sampled data validation across source → staging → ODS → analytics data layers.
• Write complex SQL queries to compare record counts, aggregates, and field-level data across layers.
• Ensure data consistency and integrity using both manual validation and dbt tests.
• Validate PII masking and data obfuscation where applicable.
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Automation and DevOps Integration
• Build and maintain reusable SQL-based test automation scripts for recurring validations.
• Integrate QA checks in CI/CD pipelines using git Actions.
• Monitor and validate Informatica batch schedules and dbt Cloud jobs (or CLI triggers).
• Contribute to QA dashboards and test reporting automation.
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Defect Management & Reporting
• Log and track defects in JIRA, categorize by layer (Informatica/dbt), and severity.
• Facilitate daily defect triage calls with data engineering teams.
• Provide detailed test execution status reports and test coverage metrics by data domain.
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Unlock Your ETL Datawarehouse Potential: Insight & Career Growth Guide
Real-time ETL Datawarehouse Jobs Trends in San Antonio, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ETL Datawarehouse in San Antonio, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 300 jobs in United States and 9 jobs in San Antonio. This comprehensive analysis highlights market share and opportunities for professionals in ETL Datawarehouse roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! eTeam is currently hiring and seeking a ETL/ Datawarehouse QA to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ETL/ Datawarehouse QA Jobs San Antonio.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at eTeam adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ETL/ Datawarehouse QA Jobs United States varies, but the pay scale is rated "Standard" in San Antonio. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ETL/ Datawarehouse QA typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your ETL/ Datawarehouse QA interview at eTeam, research the company, understand the job requirements, and practice common interview questions.
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