Big Data Engineer
4 weeks ago
- Organisation is a global leader in the technology and telecoms industry.
- Fast-paced environment, rapidly growing organisation.
The organisation is a global leader in the technology and telecoms industry. They are well-known for their innovative approach to tackling complex technical challenges and their commitment to creating a positive impact on a global scale.
Job Description- Develop, construct, test and maintain architectures
- Align architecture with business requirements
- Data acquisition
- Develop data set processes
- Use programming language and tools
- Identify ways to improve data reliability, efficiency and quality
- Collaborate with data architects, modellers and IT team members on project goals
- Implement large scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
A successful Big Data Engineer should have:
- A degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Experience in the technology and telecoms industry
- Knowledge in big data technologies
- Experience in data modelling, ETL development, and Data warehousing
- Experience with programming languages
- A competitive salary
- An inclusive and collaborative company culture
- Opportunities for career progression in a rapidly growing organisation
- A generous holiday leave package
If you are a forward-thinking Big Data Engineer who enjoys working in a fast-paced environment, we look forward to receiving your application.
Contact
Carine Cui (EA no: 18C9065)
Quote job ref
JN-022025-6670908
Phone number
+65 6533 2777
© Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.
Tell employers what skills you have
Scala
Big Data
Pipelines
Hadoop
Data Management
Architects
ETL
Informatics
Reliability
Data Engineering
SQL
Python
Statistics
Java
Data Warehousing
Business Requirements
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