Implement cloud platform regression testing and automate large-scale transactional reconciliation using Python and SQL. Validate near-real-time data availability, data quality, transformations, and system stability across multiple data layers. Work with GCP services, data warehousing, ETL processes, CI/CD deployments, graph databases, and Cypher queries.
Job description: Senior Data Testing Engineer
- 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.
XPT Software Australia Pty Ltd Melbourne, Victoria, AUS Office
Melbourne, Australia
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Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
