Kubernetes Data Engineer
4 weeks ago
Job Summary
DBS Bank is seeking a highly skilled Kubernetes Data Engineer to join our Enterprise Data team. As a Senior Associate, you will be responsible for deploying isolated, distributed, and chained applications on Kubernetes environments, with a focus on Hadoop Stack, Kafka, Spark, Trino, and other distributed data applications.
Key Responsibilities
Design and implement scalable and efficient data processing pipelines using Kubernetes and distributed data systems.
Collaborate with cross-functional teams to develop and deploy data applications, ensuring seamless integration with existing infrastructure.
Troubleshoot and resolve complex issues related to data processing, storage, and retrieval, utilizing expertise in Linux ecosystem and distributed systems.
Requirements
Minimum 6+ years of experience in working with Trino, Spark, Hive, and S3 storage.
Bachelor's degree in Computer Science Engineering or equivalent.
Proficiency in developing applications using Java and experience with Docker file creation.
Strong understanding of Agile/Sprint-based working models and ability to work in a fast-paced environment.
Experience with testing, integration, performance, chaos, and stress testing of distributed applications on Kubernetes.
Familiarity with Python programming language and ability to write efficient code.
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