Senior Data Testing Engineer

XPT Software Australia Pty Ltd; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

XPT Software Australia Pty Ltd is seeking a data regression specialist in Melbourne to drive cloud-based regression testing using GCP services such as BigQuery, Cloud Run, and Cloud Build. The role emphasizes Python and SQL to automate reconciliations and ensure near real-time data availability.

The candidate will work with data warehousing concepts, ETL processes, and CI/CD deployments, with hands-on experience in graph databases and Cypher to validate multiple data layers and maintain system

Qualifications

• Proficiency in Python and SQL for data workflows.
• Experience with data warehousing, ETL and CI/CD.
• Hands-on with graph databases and Cypher.
• Regression testing for high-volume data environments.

Responsibilities

• Implement regression on cloud platform, preferably GCP using Workflows, BigQuery, Cloud Run, Cloud Build and Cloud Scheduler.
• Automate large-scale transactional reconciliation and validate data availability for near real-time data with Python/SQL.
• Understand data warehousing, ETL processes, data transformations, and CI/CD deployments.
• Work with graph databases and Cypher for regression across multiple data layers, ensuring data quality and system stability.

Skills

Python

SQL

CI/CD

ETL

Data warehousing

BigQuery

GCP

Cypher

Neo4j

Data quality

Tools

Neo4j

Job description

XPT Software Australia Pty Ltd | Contract

Melbourne, Australia

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
  
• We have 120+technocrats in Australia working at our clientlocations.
  
• XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
  
• We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
  

Job Description

• Implementingcloud platform regression, preferably on GCP using Workflows, BigQuery,Cloud Run, Cloud Build, and Cloud Scheduler.
  
• Highproficiency in Python and SQL, including the use of related libraries toautomate large‑scale transactional reconciliation and validate dataavailability for near real‑time data.
  
• Goodunderstanding of data warehousing, ETL processes, data transformations,and CI/CD deployments.
  
• Experienceworking with graph databases, with hands‑on knowledge of the Cypher querylanguage.
  
• Skilledin implementing regression for high‑volume transactional data acrossmultiple data layers, ensuring validations for accurate data qualityoutcomes and system stability.