- Design and implement data pipelines for ingestion, transformation, and aggregation.
- Build backend services to serve data efficiently to internal and external systems.
- nstrument systems for observability, logging, and monitoring.
The Position:
- Design and implement data pipelines for ingestion, transformation, and aggregation.
- Build backend services to serve data efficiently to internal and external systems.
- Instrument systems for observability, logging, and monitoring.
- Collaborate with data scientists to ensure models are properly supported with the right data.
- Optimize system performance to handle large-scale traffic spikes.
- Contribute to migration efforts toward Kubernetes for scalability and automation.
The Candidate:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum 3 years of Java, Scala or Python development experience, with a focus on backend and data engineering.
- Experience with distributed data systems (Spark, Kafka, Flink, etc.).
- Knowledge of Kubernetes and containerized deployments.
- Familiarity with observability tools (Prometheus, Grafana, ELK stack).
- Strong problem-solving skills and ability to work under time-sensitive conditions..
Preferred Qualifications
- Bachelor's degree in a related field, or equivalent practical experience.
We regret to inform that only shortlisted candidates will be notified.
EA Reg No: R25145981 , Low Ciao Ling
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544
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