Advanced Database Validation Specialist

3 days ago

Sydney, New South Wales, Australia beBeeDataValidator Full time $75,000 - $85,000
Job Title

We are seeking a detail-oriented Data Validation Specialist to ensure the accuracy and reliability of our data-centric features.

Our vision is to deliver innovative solutions and drive business success through expertise in software development, testing services, digital transformation, enterprise solutions, and quality ICT training. We are committed to growth and excellence.

Key Responsibilities:

  • Design and execute data validation strategies across reporting, compliance tracking, event attendance, and learning analytics modules to ensure field-level data integrity.
  • Validate ETL pipelines and workflows end-to-end, from data ingestion through transformation to analytics layers and dashboards.
  • Leverage automation platforms to create, maintain, and run robust data tests with minimal scripting effort.
  • Write and use advanced SQL queries to validate data correctness and aggregations.
  • Integrate database and ETL test cases into CI/CD pipelines to support continuous testing during agile development cycles.
  • Support API and middleware testing for data access and synchronization validation using tools like Postman or similar.
  • Collaborate with product, data engineering, and QA teams to define comprehensive test scenarios, edge cases, and data flow validations.
  • Analyze and report data discrepancies, trace root causes, and verify fixes across multiple test iterations.

Skill Requirements:

Strong experience in ETL testing, database validation, or data quality engineering in enterprise or SaaS environments; Proficiency in SQL, including joins, subqueries, and analytical functions for validating complex datasets; Experience with automated data testing tools; Good understanding of data pipelines, data warehousing, and validation of aggregated business metrics; Familiarity with API testing tools such as Postman and UI automation frameworks like Selenium; Ability to work within DevOps and CI/CD pipelines, contributing to continuous integration of test assets; Detail-oriented mindset with a strong focus on uncovering and resolving subtle data inconsistencies; Excellent communication and collaboration skills to work effectively in cross-functional agile teams.

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