Data Engineer

Key Skills

B2B, Big Data Technology, Data science techniques, Java Programming, Linux Operating system, Python Programming, Scala Programming, SQL

Job Description

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.

As a Data Engineer, you will 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 will include:

• Understand deeply the business problem 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
• 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 and the data analysis pipelines
• Integrate the results into business UIs developed by Lynx or pre-existing client software systems

To succeed in this role, you will have extensive experience in data engineer or data science role, preferably in an analytics or machine-learning environment (or relevant organisation). You should have strong programming skills, including a thorough knowledge of Python and good understanding of the Linux OS and databases (SQL). You need to have analytical thinking with very strong problem-solving skills and be able to undertake travel as required (up to 50%, within the region). Additionally, experience in project delivery is a strong advantage.