Data Engineering & Warehousing - Randstad

About the company: My client is a leading global multinational investment bank and financial services company.
It is headquartered and listed on the Australian Stock Exchange and employs nearly 15,000 staff in over 20 countries.
It is the world's largest asset manager in infrastructure and Australia's top-ranked mergers and acquisitions adviser with almost half a trillion dollars in assets under management.
About the role: Because of their immense growth in their Data Engineering and cloud portfolio, an exciting opportunity has come up in one of their offices in Sydney.
You will be joining their elite team and playing a key role in developing, building and enhancing enterprise scale Data Engineering solutions in the Google Cloud Platform (GCP) space.
Skill Sets: You need to have the following skill sets to excel in this role:
Strong previous experience in Data Engineering. Experience in building and deploying solutions in data warehouses using GCP services including BigQuery, Dataflow, Pub/Sub and other services. Previous experience working on Data warehousing programs. Exposure to data modeling (Kimball, data vault or similar). Excellent experience in ETL/ELT as well as SQL. Experience with event driven processing and big data processing using GCP Pub/Sub will be highly regarded. Strong collaboration and communication skills. It is an urgent position and my client is interviewing candidates at the moment.
It is an exceptional opportunity for someone who has data engineering experience and has worked in the GCP cloud.
Only Australian Permanent Residents and Citizens are required for this role.
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