TEKsystems
1 week ago
Backend Developer - TEKsystems (Allegis Group Singapore Pte Ltd)
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Company information
- Company
- TEKsystems
- Location
- Singapore Singapore
- Posted
- 1 week ago
Job description
- 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.
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
Required skills
- kafka
- java
- problem-solving
- monitoring
- system performance
- information technology
- python
- kubernetes
- automation
- spark
- prometheus
- grafana
- observability
- computer science
- backend services
- data engineering
- scalability
- transformation
- data pipelines
- scala
- instrumentation
- containerized deployments
- logging
- elk stack
- backend development
- distributed data systems
- internal systems
- flink
- data scientists
- aggregation
- external systems
- ingestion
- traffic spikes
- time-sensitive conditions
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