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ETL TESTER

Abode Techzone · San Antonio, TX

3030

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ETL TESTER at Abode Techzone. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

ETL TESTER

Location

San Antonio, TX

Exp : 7+

Job Summary

To plan, deploy and manage the testing effort/work plans for the project [module] to meet the client /internal requirements as per the quality standards prescribed.

Key Responsibilities

  • To participate in functional as well as technical discussions with the client /team to understand functional /design specifications ,highlight performance concerns, inconsistencies ,prepare automated test scripts,maintain test case suite,ensure the appropriate test environments and infrastructures are in place/kept upto date.
  • To develop and continuously improve automated tests as new system features/ enhancements are developed and accordingly create work plans| monitor and track the work schedule for on time delivery as per the defined quality standards.
  • To create reusable /scalable test automation framework, develop test strategies/plans, maintain test data and to submit status reports for minimizing exposure and risks on the project or closure of escalations.
  • To develop/guide and mentor QA engineers in the use of the testing framework , enhancing their technical capabilities and increasing productivity.

Additional requirement

Tech Stack

ETL testing Informatica PowerCenter, dbt Data Build Tool, SQL, Snowflake , Git, JIRA

Responsibilities

1 . QA Strategy and Planning

  • Define QA strategy for a hybrid ETL stack involving Informatica, and dbt for transformationmodeling.
  • Analyze STTMs (SourcetoTarget 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.

2 . 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 stagingODS 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.
  • 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.
  • Data ValidationReconciliation
  • 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.
  • 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.
  • Defect ManagementReporting
  • 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.

Skills

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