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Job Summary


Salary
$11,000 - $20,000 SGD / Monthly EST

Job Type
Permanent

Seniority
Lead

Years of Experience
At least 10 years

Tech Stacks
ETL
Analytics
Apache
Azure
Spark
Flink
Kubernetes
kafka
Scala
GraphQL
Python
AWS
Java

Job Description


Apply
  • You will be a technical expert, who enjoys getting hands on to design, develop and deploy data intensive and business critical cloud solutions with cloud native design patterns, automation-first mindset, observability and best of breed cloud tools and architecture practices.
  • Working with the Product Owners and multiple stakeholders, you'll be leading Cloud projects, from start to finish.
  • Taking responsibility for setting the platform vision, leading the roadmap, direction, and engineering efforts of many of CPBB's most critical and forward-thinking projects.
  • Oversee data management and governance to ensure data quality and integrity.
  • Drive engineering best practices across the organization.
  • Mentoring other engineers to help foster a cohesive team environment.

What you should have
  • Significant expertise in technical design and implementation of large-scale production workloads in the public cloud.
  • In-depth knowledge (expert in a number of Azure/AWS services), Big Data analytics ecosystem, networking, hybrid environments and 3rd party software/PaaS/infrastructure.
  • Prior experience planning and executing large scale cloud migrations, specifically for Data Platforms would make you a great fit for this role.
  • A mentoring mindset and love to model modern methodologies for unit tests, code review, design documentation, debugging, and troubleshooting
  • Experience running batch and low latency real time ETL pipelines, deployment automation/configuration management systems at scale.
  • Understanding and adherence to operational processes ensuring auditability, risk and compliance (includes Incident, Problem and Change Management)

Our Ideal Candidate
  • 10+ years of professional experience in software engineering, working on transformational projects.
  • Significant expertise in technical design and implementation of large-scale production workloads in the public cloud.
  • In-depth knowledge (expert in a number of Azure/AWS services), Big Data analytics ecosystem, networking, hybrid environments and 3rd party software/PaaS/infrastructure.
  • Prior experience planning and executing large scale cloud migrations, specifically for Data Platforms.
  • Proficient in at least one of the following programming languages, Java, Scala or Python.
  • Deep expertise with Data Analytics tools and technologies, e.g. Apache Spark, Kafka, Apache Flink, etc.
  • Possess strong knowledge of computer science fundamentals: data structures, algorithms, programming languages, distributed systems, APIs (REST/GraphQL) and networking.
  • Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience

Bonus Points:
  • Azure/AWS specialty certification(s) in Data Analytics
  • Experience with Kubernetes/ Serverless platforms.
  • Experience with MLOPs.

Apply now to join the Bank for those with big career ambitions.

To view information on our benefits including our flexible working please visit our career pages. We welcome conversations on flexible working.

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