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Rimes Technologies Logo Rimes Technologies · IT - Software Development

Data Reliability Engineer

Singapore · Job Posted January 09, 2026
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Job Description

We are looking for a hands-on Data Reliability Engineer to join our team. This role is focused on maintaining and optimizing the data infrastructure that powers Rimes’ global platforms. We seek strong technical engineers first—those with experience profiling, tuning, and scaling large-scale data and ETL systems. Over time, there is potential to grow into a team lead role.

Job Responsibility

  • Own and maintain the core data infrastructure supporting global data delivery
  • Profile, debug, and optimize large-scale ETL and data processing pipelines for performance and reliability
  • Write and maintain Python and SQL code to support data workflows, modules, and archiving processes
  • Use Datadog and other observability tools to proactively monitor, detect, and resolve system bottlenecks
  • Collaborate with Data Developers, SRE, and Infrastructure teams to ensure system scalability and disaster recovery readiness
  • Contribute to projects involving big data platforms, SMB clusters, and Palantir Foundry
  • Continuously improve automation, processes, and system resilience

Requirements

  • Hands-on engineer with strong proficiency in Python and SQL
  • Experienced in profiling and optimizing ETL systems and large-scale data pipelines
  • Familiar with IT infrastructure, working experience in datacentre or any cloud platform (AWS, Azure, etc.) will be a plus
  • Comfortable working with distributed systems / big data projects (SMB clusters, Palantir Foundry, Databricks, etc. are a plus)
  • Familiar with monitoring and observability tools (Datadog or similar)
  • Strong problem-solver with the ability to dive deep into complex technical issues
  • Financial services or exposure to data-intensive domains is preferred
  • Degree in Computer Science, Engineering, or equivalent practical experience

Nice to have

  • Familiar with IT infrastructure, working experience in datacentre or any cloud platform (AWS, Azure, etc.) will be a plus
  • Comfortable working with distributed systems / big data projects (SMB clusters, Palantir Foundry, Databricks, etc. are a plus)
  • Financial services or exposure to data-intensive domains is preferred
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