: 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 handson knowledge of the Cypher query language.

Skilled in implementing regression for highvolume 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 largescale transactional reconciliation and validate data availability for near realtime data.

Positive 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 largescale transactional reconciliation and validate data availability for near realtime 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 handson knowledge of the Cypher query language.

2.

Skilled in implementing regression for highvolume transactional data across multiple data layers, ensuring validations for accurate data quality outcomes and system stability.

4-8 years
: Sr Automation Engineer with GCP , Python & SQL 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.

Required Skill Profession

Other General

📌 Senior Automation Engineer With GCP,Python,SQL (Melbourne)
🏢 Xpt Software Australia
📍 Melbourne