Senior Data Testing Engineer - Melbourne

Ayan Infotech

City of Melbourne

Hybrid

AUD 90,000 - 130,000

Part time

7 days ago
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Job summary

Ayan Infotech is seeking a Senior Data Testing Engineer for a Melbourne-based contract role. Hybrid work arrangement requires 2-3 days in the Melbourne CBD office.

You will focus on regression testing across cloud platforms, particularly GCP, and ensure data quality across data warehouses and ETL processes. The ideal candidate has strong Python and SQL skills, experience with graph databases and Cypher, and can deliver high-volume data validations with CI/CD practices.

Qualifications

  • Proficient in Python and SQL for data reconciliation and validation.
  • Experience with GCP and cloud platform regression testing.
  • Knowledge of data warehousing, ETL, and CI/CD pipelines.
  • Hands-on with graph databases and Cypher query language.
  • Ability to implement regression for high-volume transactional data.

Skills

Python
SQL
Data testing
Data warehousing
CI/CD

Tools

BigQuery
Cloud Run
Cloud Build
Cloud Scheduler
Cypher

Job description

Title: Senior Data Testing Engineer
Location: Melbourne
Type: Contract (6 months +)
Work Arrangement: Hybrid (2-3 days in office in Melbourne CBD)

Ayan Infotech are looking for a Senior Data Testing Engineer for a contract job opportunity in Melbourne.

All applicants must have full unrestricted work rights in Australia.

Required Skills and Experience:
  1. Implementing cloud platform regression, preferably on GCP using Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler.
  2. High proficiency in Python and SQL, including the use of related libraries to automate large?scale transactional reconciliation and validate data availability for near real-time data.
  3. Good understanding of data warehousing, ETL processes, data transformations, and CI/CD deployments.
  4. Experience working with graph databases, with hands‑on knowledge of the Cypher query language.
  5. Skilled in implementing regression for high-volume transactional data across multiple data layers, ensuring validations for accurate data quality outcomes and system stability.

We will be able to contact only shortlisted candidates. We thank you in advance.

www.ayaninfotech.com

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