Data Operations/Reliability Engineer

We are partnering with a leading global multi-strategy hedge fund to look for a Data Operations Engineer to join their team in Singapore.

You'll play a key role in ensuring the reliability and performance of the firm's critical data platforms by monitoring data pipelines, investigating data quality issues, and identifying anomalies. The role also focuses on enhancing observability, building automation, and continuously improving monitoring tools and processes to increase the resilience, scalability, and efficiency of the data ecosystem.

Requirements

• Strong technical foundation with experience working with data platforms
• Hands-on experience building automation solutions and driving continuous improvements to operational processes.
• A strong focus on enhancing platform reliability, availability, and resilience through automation, testing, and standardisation.
• Experience programming in Python or another modern language such as Java, Go, C#, or Scala.
• Strong SQL skills with experience working with large-scale datasets and data analysis tools (e.g. Pandas, Snowflake, Elasticsearch/Kibana).
• Exposure to orchestration and data workflow technologies such as Airflow, Dagster, Argo, Spark, or Hive.
• Familiarity with containerized environments using Docker and Kubernetes.
• Strong troubleshooting and problem-solving skills, with a methodical approach to investigating production issues.
• Excellent communication skills and the ability to collaborate effectively with global engineering teams.

If you are interested, please apply to the job post or contact me at [Confidential Information]

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D |Licence Number: 10C5117 |EA Registration Number: R23115372