Senior BI & ETL QA Engineer | Data Validation Leader

Capgemini; Phoenix (AZ); Presencial; USD 89 000 - 166 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Paid time off

401(k) retirement plans

Resumo da oferta

Capgemini in Phoenix, AZ seeks a Senior BI ETL Test Engineer for onsite testing of BI and ETL systems. You will validate data flows, data lineage, and reporting accuracy across SAP BW and SAP HANA environments, and develop testing strategies and regression plans.

Key requirements include strong SQL, experience with Informatica/SSIS/DataStage/Talend, and BI tools like Power BI/Tableau/Cognos. You will own testing projects, collaborate with teams, and ensure data quality and regulatory readiness.

Qualificações

• Extensive BI/ETL testing experience across data warehouses and reporting.
• Strong SQL for data validation, mapping, and defect analysis.
• Experience with ETL tools: Informatica, SSIS, DataStage, or Talend.

Responsabilidades

• Perform end-to-end testing of BI and ETL systems and data flows.
• Design and execute ETL testing strategies and test plans.
• Test SAP BW/HANA reports using BEx tools and validate data accuracy.
• Analyze defects, identify root causes, and drive timely resolution.

Conhecimentos

BI testing

ETL testing

SQL queries

Informatica

SSIS

Data integration

Power BI

SAP BW

SAP HANA

Data quality

Jira / Azure DevOps

CI/CD

Snowflake

Tableau

Cognos

Ferramentas

Informatica

SSIS

Talend

Azure Data Factory

Snowflake

Power BI

Tableau

Cognos

JIRA

Azure DevOps

Descrição da oferta de emprego

Capgemini in Phoenix, AZ seeks a Senior BI ETL Test Engineer for onsite testing of BI and ETL systems. You will validate data flows, data lineage, and reporting accuracy across SAP BW and SAP HANA environments, and develop testing strategies and regression plans.

Key requirements include strong SQL, experience with Informatica/SSIS/DataStage/Talend, and BI tools like Power BI/Tableau/Cognos. You will own testing projects, collaborate with teams, and ensure data quality and regulatory readiness.