AVP, Data Engineer, Data Technology, Technology

3 weeks ago

Singapore DBS Bank Limited 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.

Responsibilities
    • Provide expert solutions in field of Cloud Native big-data application design and development in Data Platform
    • To work closely with the business and technology teams to ensure the overall solution achieves the business objectives.
    • Work with business stakeholders in requirement prioritization and rationalization
    • Ensuring good quality and performance of product features
    • Experimentation to assess new solution paths of enabling data access in various environments.
    • Collaborative work with remote teams.
Requirements
    • Bachelor's degree in software engineering or computer Science.
    • 6+ years of proven software development experience with strong knowledge in Java, JEE, Spring Boot, Cloud Native, Microservices, Web Services APIs and/or Big-Data full stack engineering.
    • Solid hands-on experience in design and development of scalable real-time streaming with Apache Kafka.
      Design and develop fault-tolerant, robust and scalable Cloud Native microservices from scratch.
    • Experience in problem solving and root-cause analysis on any errors during the process of Software Development Life Cycle (SDLC) implementation.
    • Experience in building automated tests like unit tests, integration tests, load tests with Apache JMeter etc.
    • Experience in continuous integration and continuous delivery (CI-CD) pipelines with Git, Jenkins, Sonar, HP Fortify etc.
    • Good knowledge in relational databases, SQL, transactions and ACID properties.
    • Support production incidents when needed and help users to resolve their issues.
    • Perform proof-of-concepts (POCs) on new technologies and approaches.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Able to research, investigate, evaluate and learn from existing services. Should be Self-learner.
    • Maintain technical awareness at a level where alternatives can be analysed, modelled, classified according to technical feasibility and non-functional characteristics.
    • Collaborate with cross-functional teams to define, design, and ship new features.
    • Implement core practice of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premises or public-cloud environment, where everything is automated.
Tech stack: Java/JEE, Spring Boot, Kafka, CI-CD, OpenShift, Big-Data and its related cloud-native functionalities

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