Data Quality Assurance Engineer (Mid-level)

Rising Tide Digital, Inc.

Taguig

Hybrid

PHP 420,000 - 600,000

Full time

4 days ago
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Job summary

Rising Tide Digital, Inc. is seeking a QA Tester to support the Enterprise Data Management and data development life cycle. You will perform quality assurance and quality control duties across pipelines and ensure compliance with acceptance criteria.

Collaborate with business analysts and developers to clarify scope, execute automated regression tests, and report results through Azure DevOps. Experience in data warehousing, SQL validation, and Python scripting is preferred.

Qualifications

  • 2+ years of QA testing in data engineering or data warehousing.
  • SQL for data validation and reconciliation; basic Python scripting.
  • Experience testing ETL/ELT loads or data warehouse changes.
  • Experience with defect and test management tools (Azure DevOps or equivalent).
  • Strong verbal and written communication skills.
  • Excellent problem-solving skills and ability to work under pressure.
  • Ability to learn new technologies, disciplines and frameworks.
  • Familiar with Agile/Scrum methodologies.

Responsibilities

  • Perform QA and QC duties for Enterprise Data Management and data development lifecycle.
  • Participate in backlog refinement; draft acceptance criteria and test cases before development.
  • Execute quality gate checks (accuracy, latency, performance, security) and report results.
  • Document defects in Azure DevOps with clear reproduction steps; retest fixes.
  • Maintain and run automated regression checks; contribute new tests with guidance.
  • Collaborate with BAs and developers to clarify scope and expected results.

Skills

QA testing
SQL
Python
ETL testing
Azure DevOps
Communication
Problem solving
Agile/Scrum
Data warehousing

Education

Bachelor's Degree in CS/IS/CE

Tools

Databricks
pytest
dbt tests
Tableau

Job description

Job Description:
  • Perform quality assurance and quality control duties for the Enterprise Data Management and data development life cycle.
  • Participate in backlog refinement; review requirements and technical specifications and draft acceptance criteria and test cases before development starts.
  • Execute the practice quality gate checks (accuracy, latency, performance, security) for assigned work items and report results.
  • Document defects in Azure DevOps with clear reproduction steps and supporting evidence; retest fixes.
  • Maintain and execute assigned automated regression checks; contribute new automated checks with guidance.
  • Work with business analysts and developers to clarify scope and expected results.
Required Key Knowledge Skills/ Experience:
  • 2+ years in QA testing, preferably in a data engineering or data warehousing environment.
  • Solid SQL for data validation and reconciliation; basic Python scripting.
  • Experience testing ETL/ELT loads or data warehouse changes.
  • Experience with defect and test management tooling (Azure DevOps or equivalent).
  • Good verbal and written communication skills.
  • Superior problem-solving skills, self-motivation and the capacity to work under pressure and on tight deadlines.
  • Demonstrated ability to learn and utilize new technologies, disciplines and frameworks as needed.
  • Familiarity with Agile/Scrum methodologies.
Preferred Experience:
  • Hands-on experience with Databricks (PySpark, Delta Lake, Databricks Workflows/Jobs) or other Big Data/Spark platforms
  • Exposure to data test automation frameworks (e.g., pytest, dbt tests)
  • Exposure to Tableau or other BI reporting layers
  • Banking or financial services industry experience
Education requirements:
  • Bachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field.
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