Platform and Data Engineer

5 months ago

Singapore, SingaporeMid Level

Responsibilities

Develop and deploy data solutions aligned with business, partner, and customer requirements.
Design, develop, test, deploy, and maintain operational data transformation processes.
Design, develop, and manage data lake, data warehouse, and relational database architectures.
Provide monitoring, maintenance, and support for data operations and client projects.
Manage development, staging, and production environments for system functionality, health, scalability, resiliency, and security.
Implement and maintain complex AI analytics projects involving large datasets and multiple platforms.
Produce detailed documentation and ensure quality throughout the project lifecycle.
Handle multiple customer projects concurrently.

Bachelor’s degree in Computer Science, Computer Engineering, or equivalent.
Experience programming with Spark, Python, Go, and Bash for data engineering.
Understanding of Git and GitLab.
Familiarity with Docker, Kubernetes, AWS, network concepts, and Linux.
Aptitude for automation and software profiling.
At least three years of experience developing data engineering pipelines preferred.
Knowledge of Kafka, MongoDB, Postgres, Elasticsearch, Lambda, and Glue preferred.
Strong knowledge of DevSecOps for designing, developing, testing, and deploying customer applications preferred.
Experience in cybersecurity or the telecommunications industry is advantageous.
Knowledge of Agile and CI/CD is desirable.
Familiarity with Proxmox, VMware, KVM, the Hadoop ecosystem, and MPP databases preferred.
Ability to demonstrate programming skills without being overly dependent on AI.
Detail-oriented, solution-focused, and able to solve problems.

Singaporeans only, as the candidate may potentially be subjected to clearance depending on projects.