In this role, you will create a various real-time prediction system for commerce both in the online and physical worlds. It will require strong knowledge and experience in data engineering, and some in data science, to lead a team of both data engineers and scientists.

This is a both IC (70-80%) and Lead (20-30%) role.

Tech tools: Structure-Streaming/ Flink, Kafka, Spark, AWS, Hive or Presto

  • Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics
  • Design, build, integrate data from various resources, and manage big data
  • Optimize the performance of their company’s big data ecosystem
  • Automate common data processing tasks and support data analysis tasks
  • Write documents for architecture design and implementation
  • Be a self-starter and a team player keen on mentoring others and growing your own skill set within a fast paced environment.


  • Good command of English, both written and spoken
  • Minimum 5 years of professional full-time experience in a similar role
  • Familiar with Hadoop ecosystem
  • Experience in building cloud-based data warehouses on AWS
  • Experience in using Spark on AWS’s EMR to work with massive datasets and to store in a data lake and Hive or Presto to interact with data
  • Understand the HDFS principle beneath Spark and the formats it stores out
  • [Nice to have]
  • Knowledge of Spark-streaming & Machine Learning
  • Experience with data visualization (eg: Tableau) and CI/CD flow
  • 2-3 years of team lead experience
  • Experience in SaaS, e-commerce, or tech startup


  • Competitive salary offers + stock options based on experience
  • Annual bonuses, paid vacations, and on-going learning opportunities
  • Other company-sponsored perks

About Us

Read more about our team and other vacancies here Morpheus One | Careers

Interested in joining us?

  • Email your resume or LinkedIn profile to Daisy at Briefly tell us about:
  • How you found us/ this position
  • What you are looking for in your next position/ team
  • Your desired salary (if any)
  • Include links to your portfolio (product/design), GitHub/StackOverflow (engineering), case study (UX/Growth)
  • Only candidates selected for interviews will be contacted
  • To learn more about our interview process, check out our Interview Guide