Data Testing Engineer - Melbourne

Ayan Infotech; City of Melbourne; On-site; AUD 90,000 - 120,000; Full time

Job summary

AYAN InfoTech in Melbourne seeks a Data Testing Engineer to join an exciting project in a well-structured and mature environment, focusing on regression and data quality across complex data layers.

The role requires 5+ years of experience, strong Python/SQL skills, and hands-on work with GCP services (BigQuery, Cloud Run) in a contract setting of 3 months with extensions.

Qualifications

• 5+ years of experience in data testing or data quality roles.
• Proficient in Python and SQL for automated data validation.
• Experience with Google Cloud Platform (GCP) services and BigQuery.
• Knowledge of data warehousing, ETL, and CI/CD deployments.
• Hands-on with graph databases and Cypher query language.
• Melbourne-based contract with 3 months duration and extensions.

Responsibilities

• 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.

Skills

Python

SQL

Data testing

Data validation

CI/CD

Data warehousing

ETL

Tools

GCP

BigQuery

Cloud Run

Cloud Build

Cloud Scheduler

Cypher

Job description

AYAN InfoTech is looking for Data Testing Engineer to join an exciting project based in Melbourne. The role offers you the opportunity to contribute towards an extremely well structured and mature environment, working on sophisticated enhancement projects.

Role: Data Testing Engineer
Location: Melbourne
Contract Duration: 3 Months with high possible extensions
Experience: 5+ Years

• 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.

Please note we will be able to contact only shortlisted candidates for this role. We thank you in advance for your interest.