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XPT Software Australia Pty Ltd

Senior Automation Engineer With GCP,Python,SQL

Posted One Month Ago
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In-Office
Melbourne, Victoria
Senior level
In-Office
Melbourne, Victoria
Senior level
Develop and maintain cloud platform regression automation on GCP using Python and SQL. Automate large-scale transactional reconciliation, validate data quality and near-real-time data availability, and test across multiple data layers. Work with GCP services, data warehouses, ETL processes, transformations, and CI/CD deployments. Preferred experience includes Neo4j, Cypher, and high-volume transactional data validation.
The summary above was generated by AI

Job description: Sr Automation Engineer with GCP , Python & SQ

 

2.      JD for Sr Automation Engineer with Python & SQL - We are looking for a skilled candidate experienced in:

·         Implementing cloud platform regression, preferably on GCP using Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler.

·         Experience working with graph databases, preferably Neo4j, 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.

·         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.

 

Must Have

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.      Good understanding of data warehousing, ETL processes, data transformations, and CI/CD deployments.

 

Nice to Have

1.      Experience working with graph databases, preferably Neo4j, with hands‑on knowledge of the Cypher query language.

2.      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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