Data Engineer
at UST Global
Sydney, New South Wales, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 23 Aug, 2024 | Not Specified | 25 May, 2024 | N/A | Kubernetes,Sql,Python | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
ABOUT UST
For more than 25 years, UST has worked side by side with the world’s best companies to make a real impact through digital transformation. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at
LI-BM
SKILLS
Python,Kubernetes,Sql
ABOUT UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process
Responsibilities:
ROLE DESCRIPTION
UST is a leading global digital transformation organisation. In Australia, we are seeking a passionate and experienced Data Engineer to join a high performing client team based within one of Asia Pacific’s top ranked financial institutions.
TO BE SUCCESSFUL IN THIS ROLE YOU WILL HAVE:
- Strong hands-on coding ability in Python.
- A broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in a clustered environment.
- Experience with Docker, Kubernetes and AWS.
- Solid SQL experience, authoring complex queries and Data Definition Language (DDL).
- Experience with Linux/Unix.
- Working knowledge of API-based integration for modern systems.
- Experience querying big data, using tools like, Redshift, Hive, Spark, Presto etc.
- Experience with Data Pipelines Orchestration tools like Airflow or Argo Workflows.
- Experience with Source control in Bitbucket or similar.
- Exposure to security concepts and best practices.
- DataIku experience (desirable)
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Sydney NSW, Australia