Lead / Senior Production Data Engineer / Analyst

Singapore   |   Full Time

We are looking for a Lead / Senior Production Data Engineer, you will work directly with the founders and developers to build the backbone of our business. The Production Data Engineer will be part of a multi-disciplined team defining and building data solutions working closely with the product and technology team. 

This role will be critical in shaping our product launch and deploying our analytics at production level. The production data engineer should have prior direct experience managing production data deployment to ensure a continuous deployment and delivery of analytics products and services; ideally should have worked on trading database (Real-time / Historical) designs from the ground up in addition to running production schedules.

Roles and Responsibilities

  • Troubleshoot production issues efficiently, identify rootcause and develop solutions timely
  • Provide monitoring and proactive support while maintaining and upgrading applications
  • Automate BAU tasks to improve product efficiency
  • Contribute to data analytics and provide support in the development of custom add-ins for data collection, processing and analysis
  • Recommend quality improvements and provide guidance and support to the product and technology team to help improve monitoring and analytics capabilities.
  • Support deployment of complex big data projects using frameworks such as Scala, Python and Spark
  • Run production systems using Big Data, microservices, and distributed computing technologies
  • Work with business and engineering teams to identify scope, constraints, dependencies, and risks
  • Identify risks and opportunities across the business and drive solutions
  • Coordinate with project management, software architects, and other engineering teams in maintaining production for overall system solutions
  • Develop and manage production schedules and ensure on-time delivery
  • Practice top level data security, implement encryption policies across data sets and data sources

Requirements / Skills / Qualification

  • Bachelor’s Degree in relevant domains such as IT System, Computer Science and Data
  • Hands-on engineering experience in MongoDB, storage formats, micro services, real-time trading systems
  • Deep understanding and application experience of database management technology and Modern Data Processing technology stack including Python, Spark, Hadoop, Kafka, NoSQL like Cassandra, Hbase, Orchestration tools AirFlow and others.
  • Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
  • Been part of the DevOps process to automate the data pipelines.
  • Understanding of agile development methods including: core values, guiding principles, and key agile practices
  • Application of Continuous Integration/Delivery, ClickUp, Jenkins, GitHub, JIRA, Confluence
  • 5+ years of prior relevant experience
  • Most importantly you are an individual who loves to learn and who thrives in a challenging start-up environment.

Skills / Qualifications

  • Qualifications related to managing Kubenetes, Docker, CloudID, prometheus, Ansible, terrafarm, Cloudflare

  • The following cloud certifications are highly desired;

    • AWS / Google Certified Solution Architect – Professional

    • AWS / Google Certified DevOps Engineer – Professional

    • Microsoft Certified – Azure Solutions Architect Expert

    • Microsoft Certified – Azure DevOps Engineer Expert

    • Microsoft and/or Amazon specialist certifications

    • ITIL, CISSP or other relevant certifications are desirable

    • Experience working within software development or Internet-related industries

    • Strong understanding of CloudOps, DevOps is a plus

    • Familiarity with standard enterprise services (Directory Services, Information Assurance, Virtual Desktop, etc.), products (i.e., Oracle, SAP) and frameworks (ITIL, TOGAF, etc.) Working knowledge of large cloud deals based on AWS, Azure and GCP

  • Hands-on infrastructure development experience 

  • Capable to research and explore new domain knowledge independently 


  • Competitive pay; Unlimited vacation policy; On-site company gym; and a fun & global team!

Company Description

Treehouse provides DeFi users with live analytics and risk metrics of their digital assets. We are building a unified and user-friendly interface to help users successfully manage their portfolio in the ever-changing world of DeFi. We aim to be the gateway for all traders to effectively manage their DeFi risk across chains and are backed by some of the largest Singapore VCs and global crypto exchanges.


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