Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 month(s)
No Travel Required
Skills
SQL
GIT
Snowflake
jira
ETL testing Informatica PowerCenter
dbt Data Build Tool
Job Details
Job Summary
To develop comprehensive test plans based on project requirements and objectives in collaboration with project stakeholders to define testing scope, goals, and deliverables. (1.) Key Responsibilities
1. To participate in functional as well as technical discussions with the client /team to understand functional /design specifications ,highlight performance concerns, inconsistencies ,ensure the appropriate test environments and infrastructures are in place/kept upto date.
2. To Identify opportunities for process improvement in testing methodologies /tools and Implement best practices to enhance the efficiency and effectiveness of the testing process.
3. To oversee the creation and execution of automated test scripts ensuring consistency and alignment with quality standards to minimize exposure.
4. To develop/guide and mentor QA engineers in the use of the testing framework , enhancing their technical capabilities and increasing productivity.
To develop comprehensive test plans based on project requirements and objectives in collaboration with project stakeholders to define testing scope, goals, and deliverables. (1.) Key Responsibilities
1. To participate in functional as well as technical discussions with the client /team to understand functional /design specifications ,highlight performance concerns, inconsistencies ,ensure the appropriate test environments and infrastructures are in place/kept upto date.
2. To Identify opportunities for process improvement in testing methodologies /tools and Implement best practices to enhance the efficiency and effectiveness of the testing process.
3. To oversee the creation and execution of automated test scripts ensuring consistency and alignment with quality standards to minimize exposure.
4. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. Coordination & Stakeholder Engagement
- Work closely with data engineers, analytics engineers, data modelers, and product owners.
- Represent QA during PI Planning and system demos (SAFe).
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.
3. 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.
4. 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.
5. 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.
6. 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.
7. Coordination & Stakeholder Engagement
- Work closely with data engineers, analytics engineers, data modelers, and product owners.
- Represent QA during PI Planning and system demos (SAFe).
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