big data engineer in Singapore

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job details

posted
location
singapore
specialism
information technology
job type
permanent
salary
S$ 8,000 - S$ 13,000 per month
reference number
90M0351811_1530546152
contact
sarah yang, randstad
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job description

about the company
Our client is setting up their innovation hub in Singapore, growing their technology team rapidly. They are within the digital media and live content streaming industry and have regional presence across more than 10 countries

They are looking for Big Data Engineers who are expert in managing and manipulating complex consumer data, optimise and scale data models.

about the role

You will be part of the recommendation engine team

  • Building highly scalable and optimized data products/manage data sets via stream processing
  • Building tools and frameworks that ensure standards of high quality of data, making data discovery and data access easy for users within the company
  • Working closely with various Engineering teams, Product Managers and Data Scientists to understand the business context

skills and experience required

  • PhD or M.S. degree in Computer Science or Engineering, Pattern Recognition, Computer Vision, Statistics or equivalent
  • Strong experience with the mainstream distributed processing framework - Hadoop, Hive, Flink or Spark programming
  • Deep technical coding experience in one of the following: Java, Scala, C++, Python, etc and also expert in database/ data modelling
  • Well versed in other technologies or exposure such as MapReduce, Kafka, ElasticSearch, Flume, HBase, Impala etc
  • Demonstrated proficient to advanced mastery in applied data technologies such as SQL, Linux, Shell Scripting, Relational databases, ER models/diagrams

To apply online please use the 'apply' function, alternatively you may send your CV to sarah.yang(@)randstad.com.sg or contact Sarah Yang at +65 6510 3633.

Referrals are greatly appreciated!

(EA: 94C3609/ R1657816)





skills

Big Data, Spark, Hive, Hadoop, Flink, Python, C++

qualification

Masters in Statistics, Computer Science, Computer Engineering, Computer Vision, Pattern Recognition

educational requirements

Master's Degree