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10 часов назад

Data QA Lead (Data Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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