Data Engineer

Lynx Analytics
·
Posted: 
June 3, 2023
·
Onsite
Job Commitment
Full-time
Job Commitment
Mid Level
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Mid Level
Workplace Type
Onsite
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

We are seeking a Data Engineer to join our team and focus on automating and productizing advanced big data transformation and analytics pipelines. As a Data Engineer, you will be responsible for implementing and deploying data analysis pipelines for our clients. This includes understanding the business problem, identifying relevant data sources, defining the technical architecture, and implementing the data ingestion subsystem. We are looking for ambitious individuals who are innovative, empathetic, and team players to help us scale our operations and continue providing valuable analytics solutions.

Responsibilities

  • Understand deeply the business problem that we are trying to solve by our analytical solution
  • Discover the client's existing data sources that are relevant to the problem we try to solve through continuous consultations with employees of our client
  • Define the technical architecture for the analytical solution in collaboration with the client's IT teams
  • Implement the data ingestion subsystem responsible for moving all necessary data sources to a single location for analysis
  • Implement the data analysis pipelines at various clients of Lynx Analytics

Requirements

  • Strong experience in implementing and deploying data analysis pipelines
  • Deep understanding of business problems and ability to translate them into analytical solutions
  • Excellent communication and consultation skills to collaborate with clients and gather relevant data sources
  • Proficiency in working with big data technologies such as Hadoop and Spark
  • Familiarity with proprietary big graph analysis frameworks
  • Ability to define technical architectures for analytical solutions
  • Expertise in implementing data ingestion subsystems for data movement and consolidation
  • Strong problem-solving and analytical skills

Benefits

  • 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

Job Application Resources

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Lynx Analytics

Lynx Analytics is a predictive analytics outlet run by quantitative marketing scientists and industry experienced data scientists.
Location
Singapore, Central Region
Company Size
11-50
Workplace Type
Industries
Big Data
Information Technology
Machine Learning
Predictive Analytics
Artificial Intelligence
Data and Analytics
Software
Open Roles
8
Less details
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Lynx Analytics

Lynx Analytics is a predictive analytics outlet run by quantitative marketing scientists and industry experienced data scientists.
Company Overview

Lynx Analytics is a predictive analytics outlet run by quantitative marketing scientists and industry experienced data scientists.

Benefits
  • Opportunity to work on creating innovative, leading-edge data science pipelines using 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
Less details

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