Permanent Positions for Service/Delivery Engineer (Big Data) @ Singapore

Salary 60000 - 106799 SGD
Number of positions to fill : 1
Reference number : 8675

Employment terms
Length of employment
Employment date
Years exp required
5-8 Years
Big Data technologies including Hadoop, Spark, Solr, Kafka, Hive and Impala, and Cloud Platform such as AWS and Azure , integration testing, acceptance testing, and technical documentation


We are looking for an experienced Delivery Engineer to join us to ship robust data platforms that incorporate data science and machine learning algorithms and models that solve problems in telco network management, transportation, urban planning, real-time crowd management, and retail intelligence, to name a few. This is a great opportunity to apply your established expertise in DevOps, engineering, and project execution.


  • Analyze business and technical requirements for prospective or in-progress client projects, and identify requirements that can be met with products, and those that require customization
  • Advise Sales and Delivery teams on resources, effort and timeline to implement DataSpark solutions that meet technical and business requirements
  • Develop solution architecture and sizing for client solutions, using company products
  • Analyze and assess suitability of client’s data sources, set up data ingestion, develop transform scripts and validate data outputs in multiple stages
  • Install, configure and manage platforms required to run compnay products, such as Hadoop, Solr, Kafka, Docker, and Amazon Web Services
  • Install and configure DataSpark products, including but not limited to data ingestion, data processing and management, APIs and User Interfaces, for Proof-of-Concept, staging and production deployments
  • Impletment scheduling, monitoring, security, logging, microservice management, and other services required for the proper operation.
  • Perform system integration tests, performance tests, technical acceptance tests, and user acceptance tests to ensure proper functioning of deployed solutions
  • Employ continuous delivery and Devops best practices in the deployment, operation and management of the platform.
  • Serve as the technical expert on the project teams to provide technical support and advise Delivery team and client on all technical matters


  • BA/BS degree in Computer Science, Software Engineering, or equivalent
  • 5+ years of experience in Software Engineering, deployment / delivery engineering, or devops in a customer facing role
  • Demonstrated clear and thorough logical and analytical thinking, as well as problem solving skills
  • Experience in designing solution architecture and sizing for enterprise data processing software based on customer’s data sets, technical environment, and business needs
  • Excellence in implementing, configuring and using Big Data technologies, including Hadoop, Spark, Solr, Kafka, Hive and Impala, and Cloud Platform such as AWS and Azure
  • Proven professional experience in processing large-scale commercial data; experience with telco data a plus
  • Experience in integration testing, acceptance testing, and technical documentation
  • Superior and proactive communications skills, including verbal, written, and presentation
  • A proven team player and contributor
  • Self-directed, ability to work independently and research innovative solutions to business problems
  • Working knowledge of Docker, System OS (Linux/Unix, RHEL), monitoring systems such as Nagios or Ganglia
  • Aptitude of working on multiple projects in parallel
  • Attention to detail and data accuracy

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