Data Engineer

About the Role:

The Data Engineer is extensively involved in the end-to-end software development lifecycle and support for all work transitioned such as Projects, Application enhancements, Production fixes, etc. This includes analysis and design to development, implementation, testing and support

How you'll contribute:

• Leads the design and development of complex real-time data processing systems.
• Drives the integration of data systems with other critical bank systems.
• Provides expert-level maintenance and support for RTDS systems, ensuring optimal performance and reliability.
• Collaborates with stakeholders to define and refine functional and non-functional requirements.
• Completes required trainings for new disciplines and finds their own way in tutorials and documentation

What we're looking for:

• Understands real-time data processing concepts, including data streaming, event-driven architectures, and real-time analytics.
• Experience in key Java frameworks such as Spring, Hibernate, Apache Commons Hands-on experience with other programming languages operating on the JVM such as Groovy, Scala, Kotlin.
• Understand relevant programming languages of the target environment. Understand APIs of key libraries. Understand the relevant programming paradigms.
• Understand stream processing frameworks like Apache Kafka, Apache Flink, or Apache Storm. Understand how to design and develop real-time data processing pipelines using these frameworks.
• Understand agile collaboration and documentations tools, can leverage collaboration tools to communicate with teams to manage processes and knowledge. Has in-depth knowledge and can set up advanced configurations of collaboration tools.