Data QA Engineer: ETL & Big Data Validation

Axos Bank; Manila; On-site; PHP 391,000 - 781,000; Full time

Job summary

Axos Bank is seeking a Working level data tester to join a delivery team or shared pool. You will independently design and execute tests for standard work items under the Data QA Lead.

You will validate ETL/ELT processes and data quality across SSIS, dbt, Fivetran, Python ingestion, and Databricks, while leveraging AI tools to accelerate test case generation. You will participate in Agile ceremonies, review requirements, and document defects with clear reproduction steps.

Qualifications

• 2+ years in QA testing in data engineering or data warehousing.
• Strong SQL for data validation and basic Python scripting.
• Experience testing ETL/ELT loads or data warehouse changes.
• Familiar with defect and test management tooling (Azure DevOps).
• Good verbal and written communication; able to work under pressure.
• Ability to learn new technologies and agile methodologies.

Responsibilities

• Perform QA/QC duties for the Enterprise Data Management life cycle.
• Review requirements, draft acceptance criteria and test cases.
• Define and execute data validation and testing across pipelines.
• Validate specs against finished data products and support audits.
• Execute quality gates for assigned work items and report results.
• Document defects in Azure DevOps and retest fixes.
• Maintain automated regression checks and contribute new ones.
• Collaborate with analysts and developers to clarify scope and results.
• Leverage AI/LLM tools to accelerate test case generation and review.

Skills

QA testing

SQL

Python

ETL testing

Azure DevOps

Agile/Scrum

Communication

Learn new tools

Databricks

Education

Bachelor's degree in Computer Science, Information Systems, Computer Engineering or related field

Tools

Databricks

pytest

dbt tests

Tableau

Azure DevOps

Job description

Axos Bank is seeking a Working level data tester to join a delivery team or shared pool. You will independently design and execute tests for standard work items under the Data QA Lead.

You will validate ETL/ELT processes and data quality across SSIS, dbt, Fivetran, Python ingestion, and Databricks, while leveraging AI tools to accelerate test case generation. You will participate in Agile ceremonies, review requirements, and document defects with clear reproduction steps.