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. Positive
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.
📌 Data Testing Engineer (Melbourne)
🏢 Important Company of the Sector
📍 Melbourne
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