- Kuala Lumpur Federal Territory Malaysia
Verinon Technology Solutions . Hiring! Full Time ETL Tester in Federal Territory - Ricebowl
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Job Description
Responsibilities
Initially 1 year contract and extendable.
We are looking for an experienced ETL / BI Automation Tester to validate data pipelines, data warehouses, and BI reports. The ideal candidate will have strong experience in ETL testing, data validation, SQL, and automation testing, ensuring data accuracy, completeness, and performance across complex data systems.
Key Responsibilities
Design and execute ETL and Data Warehouse test cases for source‑to‑target data validation
Perform data reconciliation, data quality, and data integrity testing
Automate ETL/BI test scenarios using automation frameworks and scripting
Validate BI reports, dashboards, and KPIs against backend data
Perform SQL-based data analysis to verify transformations and aggregations
Execute regression, system, and integration testing for data pipelines
Test batch jobs, workflows, and scheduling processes
Perform performance and volume testing for large datasets
Identify, log, and track defects using tools such as JIRA
Collaborate with Data Engineers, BI Developers, and Business Analysts
Prepare test plans, test cases, test execution reports, and defect metrics
Mandatory Skills
ETL / Data Testing
Strong experience in ETL Testing / Data Warehouse Testing
Hands‑on with ETL tools (any of the following):
Informatica / Talend / DataStage / SSIS / Databricks
Source‑to‑Target (S2T) mapping validation
SQL & Databases
Excellent SQL skills (complex joins, sub‑queries, aggregations)
Experience with databases:
Oracle / SQL Server / MySQL / PostgreSQL
Cloud DWH: Snowflake / Redshift / BigQuery
Automation Testing
Experience with test automation using:
Python / Java
PyTest / TestNG / Selenium (for BI UI where applicable)
Knowledge of CI/CD integration for test automation
BI / Reporting
Experience testing BI tools:
Power BI / Tableau / MicroStrategy / Qlik
Validation of dashboards, reports, and data visualizations
Good to Have Skills
Experience in Cloud platforms (AWS / Azure / GCP)
Knowledge of Big Data technologies (Hadoop, Spark)
Experience in banking, insurance, or financial services domain
Understanding of data governance and data quality frameworks
Exposure to Agile/Scrum methodology
Experience in Risk domain and Moody’s (Moody’s Risk, Credit Risk, Regulatory / Risk data) testing
We are looking for an experienced ETL / BI Automation Tester to validate data pipelines, data warehouses, and BI reports. The ideal candidate will have strong experience in ETL testing, data validation, SQL, and automation testing, ensuring data accuracy, completeness, and performance across complex data systems.
Key Responsibilities
Design and execute ETL and Data Warehouse test cases for source‑to‑target data validation
Perform data reconciliation, data quality, and data integrity testing
Automate ETL/BI test scenarios using automation frameworks and scripting
Validate BI reports, dashboards, and KPIs against backend data
Perform SQL-based data analysis to verify transformations and aggregations
Execute regression, system, and integration testing for data pipelines
Test batch jobs, workflows, and scheduling processes
Perform performance and volume testing for large datasets
Identify, log, and track defects using tools such as JIRA
Collaborate with Data Engineers, BI Developers, and Business Analysts
Prepare test plans, test cases, test execution reports, and defect metrics
Mandatory Skills
ETL / Data Testing
Strong experience in ETL Testing / Data Warehouse Testing
Hands‑on with ETL tools (any of the following):
Informatica / Talend / DataStage / SSIS / Databricks
Source‑to‑Target (S2T) mapping validation
SQL & Databases
Excellent SQL skills (complex joins, sub‑queries, aggregations)
Experience with databases:
Oracle / SQL Server / MySQL / PostgreSQL
Cloud DWH: Snowflake / Redshift / BigQuery
Automation Testing
Experience with test automation using:
Python / Java
PyTest / TestNG / Selenium (for BI UI where applicable)
Knowledge of CI/CD integration for test automation
BI / Reporting
Experience testing BI tools:
Power BI / Tableau / MicroStrategy / Qlik
Validation of dashboards, reports, and data visualizations
Good to Have Skills
Experience in Cloud platforms (AWS / Azure / GCP)
Knowledge of Big Data technologies (Hadoop, Spark)
Experience in banking, insurance, or financial services domain
Understanding of data governance and data quality frameworks
Exposure to Agile/Scrum methodology
Experience in Risk domain and Moody’s (Moody’s Risk, Credit Risk, Regulatory / Risk data) testing
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