Senior Big Data Engineer

Singapore 4 days agoFull-time External
66k - 93.5k / mo
Responsibilities: • Lead the planning and development of data center, offline, and real-time business metrics systems; design and implement data service tools to improve data development efficiency, build data service products, empower business teams, and support business innovation. • Build offline and real-time data warehouses on big data platforms, including architecture design, ETL design, process optimization, metadata system design, and overall management of data production, modeling, application, and quality assurance frameworks. • Develop and maintain offline and real-time business metrics systems; conduct large-scale data integration and analysis to uncover user, product, and potential insights, providing comprehensive data platform support for sales, risk management, and operational decision-making. • Manage technical teams focused on big data warehouses (offline and real-time), fostering both business expertise and technical skill development. Requirements: • Minimum of 6 years of experience in big data/algorithm-related work, with at least 5 years in big data platform architecture and 5 years in data development. • Prior experience in mid-to-large internet companies is preferred; candidates with financial industry experience will be given priority. • Strong innovation mindset and logical thinking skills; proficient in algorithm application with solid understanding of underlying principles. • Excellent communication and coordination skills; proactive in building close collaboration with business stakeholders to drive business transformation. • Familiarity with big data scheduling and performance tuning; candidates with source code reading and modification capabilities are highly preferred.