Data Engineer - Singapore - Rapsys Technologies
Description
Responsibilities:
- Develop enterprise grade Data Products using Spark and other Big Data frameworks
- Benchmark existing solutions, identify gaps, and propose solutions to eliminate them
- Be able to work within a team of data engineers, data scientists, Devops engineers, business
- Provide operational assistance and guidance for the resulting data product including monitoring,
brokers and build packs
- Establish and maintain continuous delivery pipelines for the deployment of Data Products and
- Design and implement continuous integration and continuous delivery processes to deliver
- Continuously learn and be at the leading edge of industry trends
- Become an agent of change within organizations
Requirements:
- Bachelor's degree in Computer Engineering or equivalent
- Strong handson experience in distributed data architectures is a must
- Strong knowledge of PySpark is a must
- Working knowledge of Python is a must
- CI/CD experience (Jenkins, GitHub) is a must
- Working knowledge of Bash scripts is a must
- A clear understanding of cloud service and deployment models. AWS/GCP experience is nice to
- Kubernetes or Docker experience is nice to have
- Experience in release management or production operations, leading teams performing systems
Experience:
Data Engineer: 4 years (preferred)
Work Location:
In person
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