Staff Platform Engineer - Big Data Platform Management

Singapore, Singapore

Centre for Strategic Infocomm Technologies

CSIT is a technical agency in the Ministry of Defence that harnesses cutting-edge digital technologies to meet Singapore’s security needs.

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CSIT develops products to advance the national security interests of Singapore. We use our products in a wide range of operations, including but not limited to Counter-terrorism and Computer Network Defence. We are looking for talented Senior Big Data Platform Staff Engineer. Join the awesome CSIT family and use cutting-edge technologies to protect the nation. 

Role

  • We are seeking an experienced Big Data Platform Staff Engineer to join our team, responsible for managing and optimizing our Big Data infrastructure platform. The successful candidate will have a deep understanding of Big Data technologies, architectures, and systems, as well as experience with managing large-scale data processing and analytics environments. The role will involve designing, implementing, and maintaining the Big Data infrastructure platform, ensuring high availability, scalability, and performance.

Responsibilities

  • Design, implement, and manage the Big Data infrastructure platform, including Hadoop, Spark, NoSQL databases, and data lakes.
  • Manage Big Data clusters, including monitoring, troubleshooting, and optimizing cluster performance, as well as managing job scheduling and resource allocation.
  • Design and implement storage solutions for Big Data workloads, including HDFS, S3, and other object storage systems.
  • Ensure the security and governance of the Big Data infrastructure platform, including managing access controls, implementing data encryption, and conducting regular security audits.
  • Collaborate with data engineers and data scientists to optimize Big Data application performance and provide technical support and guidance on using the Big Data infrastructure platform.
  • Plan and manage Big Data resource capacity, including forecasting, procurement, and deployment of new hardware and software.

Requirements (Minimum Qualifications)

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 8 years of experience in managing Big Data Platforms.  Proven experience with technologies like Spark, Kafka, Hadoop, Elastic Stack, Kudu, NiFi and Kafka.
  • Strong knowledge of Big Data architectures, including data lakes, data warehouses, and data pipelines.
  • Experience in troubleshooting and resolving issues of the Big Data stack, ranging from hardware, networking, operating system to software
  • Strong understanding of data storage systems, including HDFS, S3, and other object storage systems.
  • Experience with scripting languages, such as Python, Scala, or Java.
  • Experience in managing physical and virtual infrastructures.
  • Experience in supporting search workloads in multi-terabytes and billions of records.
  • Experience in distributed systems.
  • Proven experience in using DevOps tools and CI/CD pipelines effectively.
  • Experience in leading engineering teams.

Nice to Have

  • Certifications in Big Data, such as Hadoop Certified Developer or Spark Certified Developer.
  • Experience with cloud-based Big Data platforms, such as AWS EMR, Google Cloud Dataproc, or Azure HDInsight.
  • Experience with machine learning and deep learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with containerization, such as Docker or Kubernetes.
  • Experience with agile development methodologies and version control systems, such as Git.
  • Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud.
  • Experience with containerization, such as Docker or Kubernetes.

Why join us?

  • The work is purposeful and meaningful 
  • You will work with the best engineers 
  • We work with modern technologies and tech stacks 
  • We have excellent engineering culture and work-life balance 
  • We aspire to engineering and operational excellence 
  • We empower to innovate 
  • We grow together as a family 
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
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Tags: Agile Architecture AWS Azure Big Data CI/CD Computer Science Data pipelines Dataproc Deep Learning DevOps Distributed Systems Docker Engineering GCP Git Google Cloud Hadoop HDFS Java Kafka Kubernetes Machine Learning NiFi NoSQL Pipelines Python PyTorch Scala Scikit-learn Security Spark TensorFlow

Region: Asia/Pacific
Country: Singapore

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