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&aposs 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.
Job Description
- 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
- Bachelors 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.
