Software Engineer (Data Discovery and Operations)

SingaporeFull-timemid

Software EngineerSoftware Engineering

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Quick Summary

Overview

As a Software Engineer, you will join a multidisciplinary product development team that plays a crucial role in enabling data discovery and facilitating data-driven decision-marking.

Technical Tools

Software EngineerSoftware Engineering

As a Software Engineer, you will join a multidisciplinary product development team that plays a crucial role in enabling data discovery and facilitating data-driven decision-marking. Your team will be responsible for designing, developing, and implementing technical data solutions to streamline data search and discovery, enable seamless exploration and utilization of data assets, and support data sensemaking for decision-making. In this role, you will need a strong foundation in software engineering and contribute across the full technology stack, from building data processing pipelines to developing backend data services and front-end interfaces. Your role will also involve adopting state-of-the-art technologies, including AI components, as part of the technical solution.

Design, develop, and maintain high-quality applications and/or data pipelines

Source, evaluate, and integrate state-of-the-art technologies into applications and/or data pipelines

Debug and resolve bugs and performance issues

Participate in code and design reviews to enhance code quality and software architecture

Stay updated with the latest industry trends and technologies related to software and data engineering

Communicate technical solutions effectively to diverse stakeholders

Background in Computer Science, Computer Engineering, Information Systems, or a related field

2 years of experience in application development

Strong proficiency in Python, Java, and JavaScript programming languages

Familiarity with ReactJS/TypeScript and Spring Boot

Experience with microservice architecture, and REST API design and integration

Familiarity with relational (e.g. MSSQL) and NoSQL databases (e.g. MongoDB), and search engines (e.g. Elasticsearch)