Data Engineer

Location: Singapore
Job Type: Permanent
Contact: Angie Wakefield
Email: email Angie
Posted: 2 months ago
Join a growing AI and Machine Learning team and work on cutting edge technology including Microsoft cloud stacks, open-source coding languages and Big Data tools. Come work on a Data Product, focusing on regulations and compliance that will analyze networks with graph theory and natural language processing. Be able to take charge of the data pipelines and develop a product that can help clients (e.g. Governmental agencies) tap into the best of the product.
Role and Responsibility
  • Engineer Data pipelines using cutting edge tools on Big Data and Cloud stack
  • In charge of ETL process using a multitude of tools and developing a good infrastructure for the product
  • Understand what data points are relevant and required for use within the product
  • Be a technical leader, able to work independently and on a team
  • Work with a strong team of Machine Learning engineers, Research Developers and Software Developers to understand client requirements and deliver to them with product changes
  • Have a strong drive to develop oneself and take on bigger projects, with the ultimate aim of being a leader in the organisation
Skills and Requirement
  • Holding a Masters or PhD in Analytics, Computer Science or related fields
  • Have at least 4 years of working experience in technical roles, specially data engineering.
  • Deep understanding of Big Data technologies such as Spark, Hadoop, Azure Data Lake, Azure SQL etc.
  • Proficient in Python, R, SQL
  • Have built data pipelines end-to-end
  • Exposure to Cloud technologies on AWS or Azure
  • Prior work with DevOps (Kubernetes, github) is a great to have
  • Ability to understand Machine Learning and/or Deep Learning concepts are a bonus
  • Singaporean candidates need only apply due to sensitive nature of data 

Reaching out

For a confidential discussion on this or any other opportunities available in the market please contact Angie Wakefield at - Direct Line: +65 6340 1949

EA License No: 16S8303 - EA Registration No: R1781517