Data Engineering
vor 1 Monat
About the CompanyMy client is a leading global multinational investment bank and financial services company.
It is headquartered and listed in the Australian stock exchange and employs nearly 15,000 staff in over 20 countries.
They are 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 RoleBecause 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 SetsYou 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.
Only Australian Permanent Residents and Citizens are required for this role.
For more information on the role, please either apply or contact Nathan Sabherwal on .
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