ETL TesterLocation: San Antonio, TXExp: 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 ResponsibilitiesTo 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 up to 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 RequirementTech Stack: ETL testing Informatica PowerCenter, dbt Data Build Tool, SQL, Snowflake, Git, JIRAResponsibilitiesQA Strategy and Planning - Define QA strategy for a hybrid ETL stack involving Informatica, and dbt for transformation modeling. - 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.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.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.