Big Data Engineer

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Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Job Responsibilities

Be responsible for the design, development, and maintenance of the data platform, including data warehouses, data lakes, etc., to ensure the efficiency of data storage and management.

Take the lead in the development of ETL processes, extract, clean, and transform data from multiple data sources to ensure data quality and meet business analysis requirements.

Utilize big data technologies such as Hadoop, Spark, and Flink to optimize data processing performance and achieve efficient processing of massive data.

Collaborate closely with data analysts and algorithm engineers, understand business needs, provide high - quality data support, and contribute to business decision - making.

Establish and improve data development specifications, processes, and standards to ensure the standardization and maintainability of data development work.

Qualifications

A bachelor's degree or above in computer science, software engineering, statistics, or related fields. With more than [X] years of data development experience. Outstanding fresh graduates are also welcome to apply.

Possess good communication skills and teamwork spirit, have strong problem - solving and learning abilities, and show enthusiasm for new technologies.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.