Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
Candidates with an Internet company background, a minimum of 5 years of professional experience, and experience in designing and developing large-scale websites or high-traffic business systems are preferred.
Proficient in Java, with in-depth understanding and hands-on experience in JVM, multithreading, network I/O, and locking mechanisms.
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Education: Bachelor’s degree in Design, Computer Science, Business, Engineering, or a related discipline (or equivalent practical experience).
Core Design Skills: Strong proficiency in modern design tools (Figma, Sketch, or Adobe XD) and a solid grasp of user-centered design, information architecture, and accessibility.
Product Execution & QA: Hands-on experience or familiarity with the full Software Development Lifecycle (SDLC) - including story grooming, developer handoff, basic QA testing, and release workflows.
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Minimum 3 years of experience in B2B sales, business development, account management or solution selling.
Candidates with approximately 3–5 years of relevant experience are preferred.
Experience in SaaS, software solutions, property technology, property development, property management, facility management, security systems or building technology will be an advantage.
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2–5 years of professional experience in project management, product management, business consulting, or technology delivery. Prior hands-on experience in engineering, software development, or technical operations is preferred.
Experience working on AI, data platforms, analytics, or digital transformation projects is strongly preferred.
Prior experience in startups, technology companies, consulting firms, or enterprise environments is an advantage.
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Lead client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design solution architectures using our low-code data science studio, visual ETL, and lakehouse with CDC, balancing maintainability and scale.
Write maintainable Python to extend and integrate platforms, build APIs, custom transformations, model logic, and automation where visual tools are insufficient.
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