Senior QA & Data Quality Analyst for Enterprise Platforms

Epergne Solutions

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+

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Job summary

Epergne Solutions in Singapore is seeking a Quality Analyst with 5+ years of experience to design and execute QA strategies for enterprise data platforms and applications.

You will perform integration, system, end-to-end, and data validation testing, verify data quality, and collaborate with development teams to resolve defects and improve testing processes. Strong analytical and communication skills are essential.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Responsibilities

  • Develop and execute quality assurance strategies, test plans, and test cases for enterprise data platforms and applications.
  • Perform integration, system, end-to-end, and data validation testing to ensure platform quality and reliability.
  • Validate data quality by assessing completeness, accuracy, consistency, format compliance, schema conformance, and data latency.
  • Identify, document, track, and verify defects, working closely with development and engineering teams to resolve issues.
  • Collaborate with cross-functional teams to coordinate testing activities and ensure successful platform releases.
  • Monitor quality metrics and recommend improvements to testing processes and quality standards.
  • Prepare test documentation, test reports, and operational knowledge transfer materials.
  • Support continuous improvement initiatives for quality assurance processes and testing methodologies.

Skills

QA Testing
Test Plans
Data Quality
SQL
API Testing
Defect Tracking
Analytical Skills
Communication

Education

Bachelor's in STEM

Tools

Test Automation
Test Management Tools

Job description

Epergne Solutions in Singapore is seeking a Quality Analyst with 5+ years of experience to design and execute QA strategies for enterprise data platforms and applications.

You will perform integration, system, end-to-end, and data validation testing, verify data quality, and collaborate with development teams to resolve defects and improve testing processes. Strong analytical and communication skills are essential.

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