Data Architect

Internal Security Department; Singapore (MI); On-site; SGD 50,000 - 70,000; Full time

Job summary

Join a critical mission to safeguard Singapore's internal security as a Data Architect. You will design and administer a data science ecosystem, working with advanced technologies and collaborating with a skilled team. This entry-level role offers opportunities for growth and training in a dynamic environment.

Qualifications

• Entry level position requiring knowledge in data science and analytics.
• Familiarity with database querying languages like SQL is essential.

Responsibilities

• Design, develop, deploy, and maintain tech stack solutions.
• Engage with data analysts and project managers for solution delivery.
• Lead projects and mentor junior staff.

Skills

Software Architecture

Data Science

Analytics

SQL

Machine Learning

Tools

Linux

Oracle

Spark

Elasticsearch

Flask

FastAPI

RabbitMQ

Ansible

Job description

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What The Role Is

ISD confronts and addresses threats to Singapore’s internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.

ISD utilises state-of-the-art technology and technical know-how to safeguard Singapore’s internal security, stability, and sovereignty. We are seeking highly motivated Data Architects to design, build, and administer a powerful data science and analytics ecosystem that enables the organisation to extract insights from voluminous data and make data-driven decisions.

We are hiring for Data Architect roles in the software engineering field. Those without relevant working experience are welcome to apply as long as they are able to demonstrate relevant knowledge and an ability to pick up the required skills quickly.

You will be supported by a team of highly technical and collaborative colleagues, and have opportunities for advanced training, like attending leading overseas conferences and courses. You will also have many opportunities to work on challenging, diverse and unique problem statements.

What You Will Be Working On

Our team’s flagship product is built on the following web stack technologies : Linux servers, nginx, Oracle database, Spark, Hive, Impala, HBase, Elasticsearch, Cloudera Machine Learning, Flask, FastAPI, Celery, RabbitMQ, Ansible, ArcGIS, and Svelte.

We are looking to expand our stack to include : DuckDB, graph databases, data virtualisation, and containerisation.

Depending on your level of experience, you will be helping to :

• Design, develop, deploy, administer and / or maintain (portions of) this tech stack, or solutions based off it.
• Recommend, evaluate, adopt, integrate and / or build on new open-source and commercial tools.
• Engage end users, data analysts, data scientists, data engineers and project managers in the planning, development and delivery of solutions.
• Lead projects, mentor juniors, make technical decisions, and / or formulate strategies.

What We Are Looking For

• Someone passionate about software architecture (and engineering) applied to the domain of data science and analytics.
• Self-motivated, open-minded, resourceful and meticulous candidates. Able to work independently and in teams.
• Ability to keep the overarching objectives and constraints of the project in mind while pursuing the technical details.
• Familiarity with one or more database and its related querying languages (e.g. SQL, Query DSL, Cypher).
• Knowledge and experience with any of the following software engineering domains would be an advantage :
• System administration
• Container technologies
• Data analytics, machine learning and artificial intelligence
• Only Singaporeans need apply

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology
• Government Administration and Industrial Machinery Manufacturing

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