GCP Data Engineer: Real-Time & Batch Data Pipelines
Insignia Financial is expanding its Data Engineering team in Sydney to design, develop, and optimise scalable real-time and batch data pipelines on Google Cloud Platform, applying DevOps practices for reliable delivery. Requires 3+ years in data engineering, strong GCP experience, and Java or Python proficiency.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3+ years of experience in data engineering
- Strong Google Cloud Platform (GCP) experience
- Proficiency in Java or Python
- Apply DevOps practices to enhance delivery and reliability
Full description
Insignia Financial is expanding its Data Engineering team to design, develop, and optimise scalable data solutions on Google Cloud Platform. You will work with large datasets in a cloud-native environment, contributing to a culture of continuous improvement and innovation.
We seek an engineer with 3+ years in data engineering, strong GCP experience, and proficiency in Java or Python. You will build robust data pipelines and apply DevOps practices to enhance delivery and reliability.