Senior DA QA Engineer (ETL Testing)

Salary: ₱85,000 – ₱120,000 per month

Job Description

• Perform quality assurance and quality control duties for the Enterprise Data Management and data development life cycle

• Engage from backlog refinement: review requirements and technical specifications, define acceptance criteria and design tests before development starts

• Define, prepare, execute and implement data validation, unit, integration, regression and source to target testing across SSIS, dbt, Fivetran, Python ingestion and Databricks pipelines

• Own testing for complex or high risk work items, including performance and security related checks against the practice quality gates

• Support periodic quantitative and qualitative data audits on post-production data sets

• Document defects in Azure DevOps with clear reproduction steps and supporting evidence; drive them to closure with developers

• Contribute automated checks to the practice regression suite and help convert manual tests to automation

• Mentor Intermediate and Junior engineers; review their test designs, queries and defect reports

• Work with business analysts, developers, data architects and Tableau developers to understand scope and build comprehensive test plans

• Leverage AI/LLM-powered tools (e.g., Claude, Copilot) to accelerate test case generation, synthetic data and query review, validating AI-assisted output before use in production test cycles

• Utilize Agile methodologies; participate in daily scrums, testing, code reviews, build release and other recurring meetings

• Deputise for the Data QA Lead in ceremonies and release sign-off when required

Required Key Knowledge Skills/ Experience

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

• 5+ years in QA testing, with 3+ years in a data engineering or data warehousing environment

• Strong SQL for data validation, reconciliation and profiling; working Python for test scripting

• Hands-on experience testing ETL/ELT pipelines and data warehouse loads

• Experience with test design techniques, risk-based coverage and estimation

• Experience with Azure DevOps or equivalent for defect and test management

• Excellent verbal and written communication skills, including the ability to simplify complex concepts for technical and non-technical audiences

• Ability to work independently under minimal supervision and a strong track record of meeting delivery commitments

• Familiarity with Agile/Scrum methodologies

Preferred Experience

• Hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs) or other Big Data/Spark platforms

• Familiarity with the medallion architecture (Bronze/Silver/Gold) and Delta Lake validation techniques

• Experience with data test automation frameworks and CI/CD

• Experience testing Tableau or other BI reporting layers

• Banking or financial services industry experience