VP/AVP, Cloud 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

As a Cloud Engineer, you'll be a Engineering Specialist and help us discover the information hidden in vast amounts of data. You'll be part of the team which builds a hybrid cloud data platform that runs heavy computation jobs in the cloud as well as supports data scientist in their AI/ML modelling journey.
    • Design and implement key components for highly scalable, distributed data collection and analysis system built for handling petabytes of data in the cloud.
    • Work with architects of the analytics system and help in adopting best practices in backend infrastructure and distributed computing, that supports Machine Learning and GenerativeAI workloads.
    • Implement core practice of Agile, leveraging cloud-native architecture patterns and using Test Driven Development, continuous integration/continuous delivery
    • Continuously discover, evaluate and implement new cloud technologies to maximize analytical system performance
Requirements
    • Experience in one or more areas of big data, cloud and/or cloud-native application development
    • Enterprise experience building complex solutions within AWS and experience with architecting AWS production workloads for Business and IT operations, across a hybrid cloud environment.
    • Experience in Infrastructure and Infrastructure as Code (IaaC) is a must.
    • Demonstrable strong cloud architecture or development experience, specifically Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) with associate or specialist level certification.
    • Hands-on experience with containers and containers orchestrators (kubernetes, openshift)
    • Experience with Spark and different schema formats (Avro, Parquet, Carbondata)
Nice to have:
    • Development experience in Java/Python and pride in producing clean, maintainable code.
    • Experience using high-throughput, distributed message queueing systems such as Kafka.
    • Familiarity with tracing/observability solutions, e.g. OpenTelemetry, Zipkin
    • Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools.
    • Experience with distributed databases, such as Cassandra, and the key issues affecting their performance and reliability.
    • Experience with SQL engines (e.g. MySQL, PostgreSQL)
    • The ability to work with loosely defined requirements, and exercise your analytical skills to clarify questions, share your approach and build/test elegant solutions in weekly sprint/release cycles.

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