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Senior Automation Engineer With GCP,Python,SQL

XPT Software Australia PtyMelbourne, Victoria🇦🇺Australia

Why this role stands out

This hybrid role offers you the chance to enhance your skills in cloud automation with GCP, Python, and SQL, contributing to critical data validation processes within a reputable company. You'll thrive here if you have a strong background in these technologies and a passion for ensuring data quality and system stability. Apply now to leverage your expertise and grow your career in a dynamic environment.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationMelbourne, Victoria, Australia
GCPNeo4jSQLETLBigQueryPythonCI/CD

Job description

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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