Implements cloud platform regression testing and automated validation for high-volume transactional data. Uses Python and SQL to reconcile data, verify near-real-time availability, and assess quality across multiple data layers. Works with GCP services, data warehouses, ETL transformations, CI/CD deployments, graph databases, and Cypher queries to ensure system stability and accurate outcomes.
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.
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What you need to know about the Melbourne Tech Scene
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.
