Job Description
Senior Associate, Kubernetes Data Engineer, Enterprise Data
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.
Primary Location: India-Telangana-Hyderabad - DAH2 Skyview SEZ
Job: Technology
Schedule: Regular
Employee Status:
Full-time
:
Job Posting: Jun 1, 2026, 5:16:22 AM
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.
Primary Location: India-Telangana-Hyderabad - DAH2 Skyview SEZ
Job: Technology
Schedule: Regular
Employee Status:
Full-time
:
Job Posting: Jun 1, 2026, 5:16:22 AM
💡 Quick Summary
Seeking a career-building opportunity? The Senior Associate| Kubernetes Data Engineer| Enterprise Data position is now open for candidates interested in the Bank Jobs sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
