Data QA Engineer: ETL/Databricks Validation

Axos Business Center; Manila; On-site; PHP 350,000 - 650,000; Full time

Job summary

Axos Business Center in Manila is seeking a hands-on Data QA Tester to join a delivery team or the shared pool. You will independently design and execute tests for standard work items under guidance.

The role focuses on QA/QC across the data management lifecycle, including ETL/ELT validation, SQL data checks, and collaboration with analysts and developers; you will leverage AI tools to accelerate test case generation and participate in Agile ceremonies.

Qualifications

• 2+ years experience in QA testing within data engineering or warehousing.
• Solid SQL for data validation and reconciliation; basic Python scripting.
• Experience with ETL/ELT testing and data warehouse changes.

Responsibilities

• Perform quality assurance and quality control duties for the data management life cycle.
• Participate in backlog refinement; review requirements and draft acceptance criteria and tests.
• Define and execute data validation, unit, integration, regression for pipelines (SSIS, dbt, Fivetran, Python).
• Validate specifications against finished data products and support audits.
• Execute quality gate checks for accuracy, latency, performance, security; report results.
• Document defects inAzure DevOps with reproduction steps; retest fixes.
• Maintain and run automated regression checks; contribute new ones with guidance.
• Collaborate with business analysts and developers to clarify scope and results.
• Leverage AI/LLM tools to accelerate test case generation and data generation.
• Use Agile methods; participate in daily scrums, testing, reviews, builds and releases.

Skills

QA testing

SQL

Python scripting

ETL/ELT testing

Azure DevOps

Agile/Scrum

Communication

Problem solving

Education

Bachelor's Degree in CS/IS/CE

Tools

Databricks

dbt tests

pytest

Tableau

PySpark

Job description

Axos Business Center in Manila is seeking a hands-on Data QA Tester to join a delivery team or the shared pool. You will independently design and execute tests for standard work items under guidance.

The role focuses on QA/QC across the data management lifecycle, including ETL/ELT validation, SQL data checks, and collaboration with analysts and developers; you will leverage AI tools to accelerate test case generation and participate in Agile ceremonies.