Associate Platform and Data Engineer
2 days ago
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, 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 #J-18808-Ljbffr
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Associate Platform and Data Engineer
3 days ago
Singapore Ensign Services Full time $60,000 - $120,000 per yearEnsign is hiring
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Singapore International Baccalaureate Full timeJoin to apply for the Data Platform Engineer role at International Baccalaureate The Data Platform Engineer will be responsible for the design, build, maintenance, security and performance of the data analytics platform, serving both Digital Office stakeholders and lines of business. The work will range from larger technology delivery initiatives, working on...
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Data Platform Engineer
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Senior Platform and Data Engineer
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Singapore Home Team Science and Technology Agency (HTX) Full timeDescription What the role is: The Home Team Science and Technology Agency (HTX) is a statutory board under the Ministry of Home Affairs (MHA), which aims to pioneer innovative solutions and develop world‑class science and technology capabilities to transform and empower the Home Team in delivering safety and security for Singapore. The HTxAI movement is...
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Singapore Airwallex Pty Ltd. Full timeAbout Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business...