About this role
Ensign is hiring ! Reporting to Head, Platforms and Data Engineering, the Platforms and Data Engineer will work closely with Data Scientists, Threat/Malware Researchers, Project Managers and Infrastructure Engineers to develop and manage high-performance analytics solutions. The incumbent will be accountable for the design, development, deployment and maintenance of AI analytics platforms as well as its data processing workflows.
Key Responsibilities:
• Familiarize with Ensign’s business domain and objectives to develop and deploy data solutions that meet internal business requirements and the needs of partners and customers • Design, develop, test, deploy operational data transformation processes. • Design, develop, manage data lake, data warehouse architecture and relational databases. • Provide monitoring, maintenance and support for data operations as part of maintenance & support as required in client projects. • Embrace the challenge of dealing with terabytes of data on a daily basis. • Manage development, staging, production environments to provide overall system functionality, health, scalability, resiliency, and security. • Responsible for implementing and maintaining complex AI analytics projects, focus on large sets of data to turn information into insights using multiple platforms. • Deliver detailed documentation and ensure quality throughout project lifecycle. Qualifications/Requirements:
• Bachelor’s degree in Computer Science /Computer Engineering or equivalent • Experience in programming (Spark, Python, Go, Bash) for data engineering purposes • Understanding of modern software engineering tools such as Git, GitLab • Familiarity with Docker, Kubernetes and cloud services (AWS) • Familiarity with network concepts. • Comfort and experience working in Linux environment • Aptitude for automation and software profiling • Proven ability to handle multiple customer projects concurrently • Detail-oriented, solution-focused and problem solver Preferred Skills (Good to haves):
• Minimum 3 years of experience developing data engineering pipelines • Knowledge of different data platforms (e.g. Kafka, MongoDB, Postgres, Elasticsearch), associated tools and cloud-based technologies (e.g. Lambda, Glue). • Have strong knowledge in DevSecOps to design, develop, test, and deploy applications for customer projects. • Experience in Cyber Security / Telco industry will be an advantage • Knowledge in Agile and CI/CD is desirable • Familiarity with virtualization platform (Proxmox, VMware, KVM) • Familiarity with Hadoop ecosystem and MPP databases • Ability to demonstrate programming skills and knowledge without being overly dependent on AI. *Singaporeans only as the candidate may potentially be subjected to clearance depending on projects