Data / ETL Tester

RippedBoxStation

Philippines

On-site

PHP 360,000 - 600,000

Full time

11 hours ago

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Job summary

RippedBoxStation is seeking a QA Data Tester to validate ETL processes, data pipelines, and data warehouse solutions. You will execute test cases, perform source-to-target validation, and ensure data quality through integrity checks.

You will collaborate with ETL Developers, Data Engineers, and QA teams, document results, and support defect resolution while participating in Agile ceremonies and adhering to QA standards and governance.

Qualifications

Bachelor's degree in CS/IT or related field.
0–2 years in Software Testing, Data Testing, ETL Testing, or Database Support.
Basic understanding of SDLC and STLC.
Basic knowledge of ETL concepts, data warehousing, and relational databases.
Familiarity with SQL for querying and validating data.
Understanding of data validation, reconciliation, and QA concepts.
Experience with defect tracking and test management tools such as Jira, Azure DevOps, or TestRail.
Strong analytical, problem-solving, and attention-to-detail skills.
Good written and verbal communication.
Ability to work under close supervision.

Responsibilities

Execute test cases to validate ETL processes, data pipelines, and data warehouse solutions.
Perform source-to-target data validation to ensure accurate extraction, transformation, and loading.
Verify data quality through completeness, accuracy, consistency, and integrity checks.
Execute reconciliation testing to compare source and target datasets and identify discrepancies.
Assist in preparing test plans, test cases, test data, and test execution reports for data validation activities.
Log, track, and verify defects using defect management tools and support developers in defect resolution.
Validate bug fixes and perform regression testing for ETL processes and data workflows.
Collaborate with ETL Developers, Data Engineers, Business Analysts, and QA teams to understand business rules and data requirements.
Assist in documenting test results, data validation procedures, and quality metrics.
Participate in Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Follow QA standards, data governance policies, and testing best practices.
Escalate testing issues, data inconsistencies, and risks to senior QA team members when necessary.

Skills

SQL

Data validation

Analytical thinking

Attention to detail

Communication

Agile & Scrum

Education

Bachelor's degree in Computer Science or related field

Tools

Jira

Azure DevOps

TestRail

Job description

Execute test cases to validate ETL processes, data pipelines, and data warehouse solutions.
Perform source-to-target data validation to ensure data is accurately extracted, transformed, and loaded.
Verify data quality through completeness, accuracy, consistency, and integrity checks.
Execute reconciliation testing to compare source and target datasets and identify discrepancies.
Assist in preparing test plans, test cases, test data, and test execution reports for data validation activities.
Log, track, and verify defects using defect management tools and support developers in defect resolution.
Validate bug fixes and perform regression testing for ETL processes and data workflows.
Collaborate with ETL Developers, Data Engineers, Business Analysts, and QA teams to understand business rules and data requirements.
Assist in documenting test results, data validation procedures, and quality metrics.
Participate in Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Follow QA standards, data governance policies, and testing best practices.
Escalate testing issues, data inconsistencies, and risks to senior QA team members when necessary.

Key Responsibilities

Execute test cases to validate ETL processes, data pipelines, and data warehouse solutions.
Perform source-to-target data validation to ensure data is accurately extracted, transformed, and loaded.
Verify data quality through completeness, accuracy, consistency, and integrity checks.
Execute reconciliation testing to compare source and target datasets and identify discrepancies.
Assist in preparing test plans, test cases, test data, and test execution reports for data validation activities.
Log, track, and verify defects using defect management tools and support developers in defect resolution.
Validate bug fixes and perform regression testing for ETL processes and data workflows.
Collaborate with ETL Developers, Data Engineers, Business Analysts, and QA teams to understand business rules and data requirements.
Assist in documenting test results, data validation procedures, and quality metrics.
Participate in Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Follow QA standards, data governance policies, and testing best practices.
Escalate testing issues, data inconsistencies, and risks to senior QA team members when necessary.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Computer Engineering, or a related field.
0–2 years of experience in Software Testing, Data Testing, ETL Testing, or Database Support.
Basic understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
Basic knowledge of ETL concepts, data warehousing, and relational databases.
Familiarity with SQL for querying and validating data.
Understanding of data validation, reconciliation, and quality assurance concepts.
Familiarity with defect tracking and test management tools such as Jira, Azure DevOps, or TestRail.
Strong analytical, problem-solving, and attention-to-detail skills.
Good written and verbal communication skills.
Ability to work effectively under close guidance and daily supervision.

Preferred Certifications