big data engineer in Singapore

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job details

posted
location
singapore
specialism
information technology
job type
permanent
salary
S$ 5,000 - S$ 6,000 per month
reference number
90M0347923_1529480071
contact
eshita gupta, randstad
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job description

about the company

Our client is a global leader in healthcare and pharmaceutical industry. They are looking to build an in-house data team that would provide data driven solutions to their internal and external clients.

about the job

As the data engineer you job responsibilities include:

  • Design and development of scalable end-t0-end data pipelines
  • Oversight and management of the implementation of the target data architecture
  • Close collaboration with data scientists to create insights and analytical models

about the manager/team

You will be part of the growing in-house data team which consists of data scientists, BI developers and project manager.

skills and Experience required

As the data engineer you will have:

  • At least 3 years of work experience in a data related role
  • Strong proficiency in big data technologies like Hadoop, Kafka, Cassandra, Hive and Spark
  • Strong experience in SQL and no-SQL databases
  • Experience building REST APIs and microservices architecture is good to have
  • Working knowledge in Scala, Python, or Java

This is a great opportunity for you to hone your data engineering skills in a stable and well-reputed multinational company. This is a permanent role based in Singapore with annual budget up to 75k.

To apply online please use the 'apply' function, alternatively you may contact Eshita Gupta at 65103660.

EA(94C3609/ R1435910)



skills

Big Data, Data Engineer, Data Modelling, Hadoop, Spark, SQL

qualification

As the data engineer you will have:
-At least 3 years of work experience in a data related role
-Strong proficiency in big data technologies like Hadoop, Kafka, Cassandra, Hive and Spark

responsibilities

As the data engineer you job responsibilities include:
•Design and development of scalable end-t0-end data pipelines
•Oversight and management of the implementation of the target data architecture
•Close collaboration with data scientists to create insights and analytical models

educational requirements

Bachelor Degree