Career Details

Lead Data Engineer (Up to $10K / East)
Closing Date : 08 Dec 2018


Responsibilities:

§  Building robust batch and streaming data pipeline for production-grade data products/platforms (tools: Hadoop, Spark)

§  Building and maintaining both cloud and on-premise data infrastructure

§  Analyse requirements and deliver suitable solutions

§  Write code according to best practices, and which meets security standards

§  Translate complex datasets into strategic insights for the business in a clear and to non-technical audience

§  Develop end-to-end key predictive models, write code in Python, present data science solutions to the client and incorporate risk based and credit models in the platform 

 

Requirements:

§  Preferably at least a Bachelor’s in a quantitative discipline (e.g. Computer Science, Engineering, or Mathematics)

§  At least 8 years related work experience, in building high scalability, low latency systems

§  Good knowledge & hands-on skills in at least Python/Java/Scala

§  Knowledge of machine learning techniques (e.g. Bayesian methods, regression techniques)

§  Good knowledge of algorithm generation & data structures.

§  Knowledge and interest in data mining, machine learning, natural language processing, or information retrieval

§  Prior exposure to NoSQL databases (development). Familiar with SQL and database technologies.

§  Knowledge/experience in cloud computing technologies (e.g. AWS/Azure)

§  Knowledge in use of Hadoop/Spark

 

 

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Interested applicants may wish to email your resume in a detailed Word format to weeni.lim@peopleprofilers.com

We regret that only shortlisted candidates will be notified.

Lim Wee Ni

Registration Number: R1440438

EA License Number: 02C4944

People Profilers Pte Ltd

100 Beach Road #33-06, Shaw Tower Singapore 189702

Tel: 6594 9894

 

 
Specialization : Information Technology
Type of Employment : Permanent
Minimum Experience : 8 Years
Work Location : SINGAPORE
  

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