Senior Data Testing Engineer

XPT Software; City of Melbourne; On-site; AUD 120,000 - 150,000; Full time

Job summary

XPT Software in Melbourne, Australia, is seeking a data platform regression engineer to help build and automate validation across cloud-based data pipelines. You will work with GCP services, BigQuery, and graph databases to ensure data availability and quality for near real-time analytics.

Strong Python and SQL skills are required to implement large-scale reconciliation and CI/CD driven deployments in a data warehousing environment.

Qualifications

• Experience implementing cloud platform regression on GCP with Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler.
• High proficiency in Python and SQL for automating large-scale transactional reconciliation and near real-time data validation.
• Strong understanding of data warehousing, ETL processes, data transformations, and CI/CD deployments.
• Hands-on experience with graph databases and Cypher query language.
• Proven ability to implement regression for high-volume transactional data across multiple data layers ensuring data quality and system stability.

Responsibilities

• Design and implement regression tests for cloud data platforms on GCP, validating data availability and quality.
• Automate reconciliation and anomaly detection across large-scale datasets to support near real-time decisions.

Tools

Python

SQL

Cypher

BigQuery

GCP

Workflows

Cloud Run

Cloud Build

Cloud Scheduler

CI/CD

Job description

• Implementing cloud platform regression, preferably on GCP using Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler.
  
• 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.
  
• Good understanding of data warehousing, ETL processes, data transformations, and CI/CD deployments.
  
• Experience working with graph databases, with hands‑on knowledge of the Cypher query language.
  
• Skilled in implementing regression for high‑volume transactional data across multiple data layers, ensuring validations for accurate data quality outcomes and system stability.