10 часов назад
Data QA Lead (Data Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data QA Lead (Data Engineering): Owning quality for an enterprise data warehouse delivery team across refinement, testing, and release with an accent on data validation, ETL/ELT pipeline testing, and quality gates. Focus on leading QA engineers, designing automated and risk-based coverage, and using AI-assisted tools to improve test generation while validating output.
Location: Manila, Philippines
Company
Axos delivers digital financial tools and services for individuals, small businesses, and companies. Axos Financial is publicly traded on the New York Stock Exchange.
What you will do
- Own QA for an enterprise data warehouse delivery team from backlog refinement through release.
- Define acceptance criteria and test designs using a shift-left, test-driven approach.
- Plan QA effort, estimate work, manage sprint capacity, and lead assigned QA engineers.
- Design and execute data validation, source-to-target, integration, regression, and post-production checks across SSIS, dbt, Fivetran, Python ingestion, and Databricks pipelines.
- Manage defects in Azure DevOps, track quality metrics, and communicate risks and release readiness to business and US stakeholders.
- Lead root cause analysis, maintain test assets and runbooks, and coordinate knowledge transfer and coverage during transitions.
Requirements
- 6+ years of QA testing experience, including 3+ years in data engineering or data warehousing and 2+ years leading or coordinating testers.
- Strong SQL skills for data validation, reconciliation, and profiling, plus working Python skills for test scripting.
- Hands-on experience testing ETL/ELT pipelines built with SSIS, dbt, Fivetran, or Python-based ingestion.
- Experience with test planning, estimation, risk-based coverage, agile sprints, defect management, and Azure DevOps or equivalent tools.
- Excellent written and verbal communication skills, independence, and a consistent record of meeting delivery commitments.
- Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
Nice to have
- Experience with Databricks, PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs, or other Big Data/Spark platforms.
- Experience with data test automation frameworks such as pytest, Great Expectations, or dbt tests and CI/CD quality gates.
- Experience testing Tableau or other BI reporting layers.
- ISTQB certification or banking and financial services experience.
Culture & Benefits
- Full-time employment within a digital-first financial services organization.
- Pre-employment credit, criminal background, medical, and drug screening is required.
- Reasonable accommodations are available for qualified individuals with disabilities.
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