Senior Associate, Kubernetes Data Engineer, Enterprise Data

2 weeks ago

Hyderabad, Telangana, India DBS Bank Full time

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Roles & Responsibilities


• Deploy isolated, distributed and chained applications on Kubernetes environment (Any Kubernetes
ecosystem), highly desirable experience in deploying Hadoop Stack/Kafka/Spark/Trino and other
distributed data applications on Kubernetes

• Self-starter, ability to leverage the existing POC environment/Playground to get up to speed and add
to overall delivery

• Basic understanding of Agile/Sprint based working model

• Interpret and troubleshoot around basics of Linux ecosystem

• Able to demonstrate and utilize the understanding around Distributed systems(Preferably MPP
systems, Distributed databases, Spark Execution Engine).

Requirements


• Hands on experience of at least 6+ years with working with Trino/Presto , Spark , Hive with S3 as
storage

• BE in Computer Science Engineering or equivalent

• Hands on experience developing applications using Java.

• Good knowledge working and debugging with Kubernetes

• Deploy isolated, distributed and chained applications on Kubernetes environment (Any Kubernetes
ecosystem), highly desirable experience in deploying Hadoop Stack/Kafka/Spark/Trino and other
distributed data applications on Kubernetes

• Self-starter, ability to leverage the existing POC environment/Playground to get up to speed and add to overall delivery

• Basic understanding of Agile/Sprint based working model.

• Interpret and troubleshoot around basics of Linux ecosystem.

• Able to demonstrate and utilize the understanding around Distributed systems (Preferably MPP
systems, Distributed databases, Spark Execution Engine)

• Hands on experience writing docker files for the developed applications from scratch.

• Testing experience of isolated, distributed and chained applications on Kubernetes environment
(Any Kubernetes ecosystem), like testing Hadoop Stack/Kafka/Spark/Trino and other distributed data
applications on Kubernetes.

• Integration/Performance/Chaos/Stress/Load testing experience of distributed application on
Kubernetes.

• Hands on experience doing Smoke/Performance/Load/Stress/Chaos testing for developed
applications.

• Experience coding with Python.

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