Service Engineer

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Date: 27-Jan-2019

Location: Singapore, Singapore

DataSpark was created from a vision to transform Singtel’s rich and unique repository of data into business value and social impact. Our data products and services provide powerful insights and advanced analytics capabilities to businesses, government agencies, and other telecommunication companies. We strive for our analytics to be trustworthy and relevant to our clients while adhering to high standards of data privacy. 

 

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.

 

At Dataspark, you get to work with rich and diverse datasets, cutting edge technology, and you get to see the impact of your results in real business and government decisions, which in turn provide positive social benefit for consumers at a large scale. As a startup that is part of Singtel, DataSpark provides an enviable work environment with spirited trailblazing and industrial countenance. Working alongside creative, energetic and passionate teammates from around the world, you get to be a part of our exciting growth journey as we build the company to the next level.

 

Responsibilities

 

  • Analyze business and technical requirements for prospective or in-progress client projects, and identify requirements that can be met with DataSpark 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 DataSpark 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 DataSpark 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 of the DataSpark platform
  • 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 DataSpark platform
  • Serve as the technical expert on the project teams to provide technical support and advise Delivery team and client on all technical matters

 

Requirements

 

  • 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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