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Senior Automation Engineer With GCP,Python,SQL

XPT Software Australia Pty LtdMelbourne, Victoria🇦🇺AustraliaPosted 14 Jul 2026

Quick Overview

Work Type
On Site
Schedule
Full Time
Level
Mid Senior

Job Description

About Company
  • XPT Software Australia Pty Ltd, incorporated in 2016, is a Software Services company
  • XPT works with top clients across Australia in Banking, Insurance, Telecom, Retail, Energy, Mining and Manufacturing domains.
  • We have 120+ technocrats in Australia working at our client locations.
  • XPT Software Australia is part of group companies that has global presence across India & Europe.
  • We have served 100+ clients globally, fulfilling their onsite offshore needs.
Job Description

Job description: Senior Automation Engineer with GCP, Python & SQL

Melbourne, Australia

Responsibilities
  • Implement 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.
  • Implement 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.
Qualifications

Must Have

  • Implement 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.

Nice to Have

  • 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.

Skills

GCP
Neo4j
SQL
ETL
BigQuery
Python

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