Project Manager, Data Infrastructure

Department Engineering and Technology - LevelEntry Level - LocationSingapore The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. **About the Team**: - Shopee will be prioritizing applicants who have a **current right to work in Singapore, and do not require Shopee sponsorship of a visa**. Kindly note that you can only be considered in **one recruitment process at a time**within Sea Group and will be **considered for jobs in the order that you have applied**. The Data Infrastructure team is responsible for building a stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc. - ** User Engagement & Solutioning**: Work closely with infrastructure users to understand their requirements and provide solutions using **big data technologies**. - ** Project Planning & Execution**: Lead and coordinate infrastructure projects, ensuring smooth execution across multiple sub-teams. - ** Cross-Team Collaboration**: Work with data engineers, platform teams, and other stakeholders to align on technical solutions and project timelines. - ** Risk & Issue Management**: Identify potential risks and bottlenecks, proactively addressing challenges to keep projects on track. - ** Process Optimization**: Continuously improve project workflows, documentation, and best practices to enhance efficiency. - ** Stakeholder Communication**: Regularly update leadership and key stakeholders on project progress, challenges, and outcomes. **Requirements**: - ** Bachelor’s degree** in Engineering, Computer Science, Information Systems, or a related field. - ** Basic knowledge of big data technologies**, such as Hadoop, Spark, Kafka, and distributed storage. - ** Proven experience in project management**, ideally in **data infrastructure or big data** environments. - ** Strong coordination skills** to manage cross-team collaboration. - Ability to **translate business requirements into technical solutions** and vice versa. - Excellent **communication and stakeholder management** skills. - Experience with **Agile methodologies** is a plus. - ** PMP, PRINCE2, or other project management certifications** are a plus.