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.
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