Description:
About our client:Our client is an iconic Australian brand within the Technology industry. As an organisation, they have gone through an impressive period of growth. They have a global footprint and continue to expand in to new markets. They have invested heavily in their in-house technology environments, building advanced platforms which they view as key to driving efficiencies across the business and providing value to their customers.
The Role:
Being part of the Data Engineering team means you will help maintain and enhance the data infrastructure. This enables the organisation to make informed decisions, proactively address system gaps, and deliver superior solutions to customers. Your contributions will play a crucial role in driving the success and growth of this industry leading business
Responsibilities:
- Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, DataFlow (Apache Beam), and Cloud Storage.
- Implement ETL/ELT processes for data ingestion, transformation, and loading.
- Optimise data workflows for performance, scalability, and reliability.
- Ensure data governance, security, and compliance best practices.
- Collaborate with data scientists and analysts to enable seamless access to structured and unstructured data.
- Troubleshoot and resolve data infrastructure issues, minimising downtime and performance bottlenecks.
- Stay up to date with industry trends and emerging technologies, continuously improving data engineering practices.
In order to be considered for this role, you will meet the majority of the following criteria;
- 5+ years of experience in data engineering, with a strong background in Google Cloud Platform (GCP).
- Expert knowledge of SQL for data querying and manipulation within BigQuery.
- Experience in DataForm, Pub/Sub, BigQuery, Cloud Storage and other GCP services.
- Strong proficiency in Python for data processing tasks.
- $800 per day + super
- Work for the leading name in the field
- Flexible hybrid working arrangements
- Inclusive and team-orientated culture
23 Mar 2025;
from:
uworkin.com