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Data Engineer (Hong Kong)

Hong Kong

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Lynx Analytics

Transforming businesses across life sciences, retail, telecom, and FinTech with cutting edge solutions.

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COMPANY OVERVIEW

Founded in 2010, Lynx Analytics is a predictive analytics company run by world-class quantitative marketing scientists and industry-experienced data scientists. Our focus is to become a leading analytics solution provider in our chosen fields of expertise (telecom, retail, life sciences, and financial services) while advancing graph analytics technology.

Lynx is headquartered in Singapore with operations in Hong Kong, Germany, USA, Hungary, South Africa, Indonesia, and several other Southeast Asian countries. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients across Asia and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, SAP, Vodafone, GE, Morgan Stanley, Barclays, HSBC to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

We are looking for a Data Engineer to work on automating and productizing advanced big data transformation and analytics pipelines. You would be working with standard big data technologies (Hadoop, Spark, etc,), as well as our proprietary big graph analysis framework.

KEY RESPONSIBILITIES

A Data Engineer’s responsibility is to implement and deploy data analysis pipelines at various clients of Lynx Analytics. This includes participating in the activities below:

  • Understand deeply the business problem that we are trying to solve by our analytical solution
  • Through continuous consultations with employees of our client, discover the client's existing data sources that are relevant to the problem we try to solve. This includes discussions with client IT, data owners, future business users, etc.
  • Working together with the IT teams of the client, define the technical architecture for the analytical solution that we are to deploy for the client.
  • Implement the data ingestion subsystem: this is the system responsible for moving all the necessary data sources to a single location where the actual analysis will happen.
  • Implement the data analysis pipelines. 
  • Integrate the results into business UIs developed by Lynx or pre-existing client software systems

REQUIREMENTS

  • Relevant tertiary qualification, preferably at Masters level or above, in Engineering or another relevant discipline with strong academic results
  • Strong programming skills
  • Experience in Power BI
  • Solid knowledge of Python and Java (or better yet, Scala)
  • Good understanding of the Linux OS including basic sysadmin and shell scripting abilities
  • SQL
  • Experience in project delivery in a B2B setting
  • Good problem-solving skills
  • Fluency in English and Cantonese
  • Willingness to travel

DESIRABLE

  • Experience in Big Data
  • A minimum of 3 years of experience in Data Science or Analytics
  • Industry experience in working for a big enterprise (like our clients)

WHAT WE OFFER

  • Opportunity to work on creating innovative, leading-edge data science pipelines using our state of the art, in-house built big graph tool
  • Work closely with the developers of the (big graph) tool you will be building upon
  • Be a member of a very strong team with mathematicians, ex-Googlers, Ivy League  professors, MBA alumni and telecommunications industry experts
  • Startup atmosphere
  • Competitive salary
  • Equity incentives for employees
  • Opportunity to travel (Southeast Asia, US, and Europe)
  • Flexible working hours, family-friendly workplace
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Big Data Data analysis Engineering Hadoop Java Linux Pipelines Power BI Python Scala Shell scripting Spark SQL

Perks/benefits: Competitive pay Equity Flex hours Startup environment Team events

Regions: Asia/Pacific North America
Countries: Hong Kong United States
Job stats:  9  2  0
Category: Engineering Jobs

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