Data Engineer

TL;DR

Data Engineer (Data Platforms): Building, maintaining, and testing software architecture and infrastructure for complex data applications with an accent on distributed systems and high-quality pipeline design. Focus on creating core data capabilities, implementing scalable modeling techniques, and collaborating with cross-functional teams to solve challenging business problems.

Location: Must be a Singapore citizen or hold Singapore Permanent Residency (PR). Role is onsite in Singapore.

Company

hirify.global is a global technology consultancy that partners with clients to solve complex business problems using software and data as differentiators.

What you will do

• Design intricate data processing pipelines to address complex client problems.
• Collaborate with data scientists to architect scalable implementations of machine learning models.
• Write clean, iterative, and high-quality code using TDD and continuous delivery practices.
• Apply standard big data modeling techniques and manage various data schemas.
• Incorporate robust data quality standards into daily engineering workflows.
• Manage stakeholder relationships, bridging the gap between technical teams and business needs.

Requirements

• Legal eligibility: Must be a Singapore citizen or Singapore Permanent Residency holder.
• Proven hands-on experience with data modeling and modern data engineering toolsets.
• Experience building production-grade data pipelines using distributed storage and processing platforms.
• Proficiency in SQL, NoSQL, and general database architecture.
• Ability to advocate for technical excellence while effectively navigating project risks.
• Strong communication skills for presenting data insights to diverse stakeholder audiences.

Culture & Benefits

• Focus on continuous learning with access to interactive development tools and programs.
• Cultivation culture that balances employee autonomy with strong peer support.
• Collaborative environment working with a global community of technology consultants.
• Commitment to fairness and responsible use of technology in professional practice.