Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

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).

• Manage cloud resources including EC2, EMR, S3, Redshift, Glue, etc.
• Design data schema and operate internal data warehouses and SQL/NOSQL database systems
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and cloud big data technologies
• Build robust and scalable data integration (ETL) pipelines using SQL, PySpark and cloud data services like EMR, Redshift, etc.
• Implement suitable data model for data warehouse in order to achieve efficient data retrieval
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with other Engineers and Product Managers to recognize and help adopt best practices in data engineering and analytics: data integrity, test design, analysis, validation, and documentation

• 5+ years working experience in software development, data engineering, business intelligence or related fields
• 2+ years data modeling, ETL development, and data warehousing experience
• 2+ years of experience using big data technologies (Hadoop, Spark, Hive, Impala, etc.)
• Good understanding of cloud infrastructure
• Advanced SQL and query performance tuning skills
• Experience with one of the functional scripting languages (Python, Scala, Java etc.) to process semi-structured or unstructured data inputs.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Strong customer focus, ownership, urgency, and drive.
• University graduate in Computer Science, Information Technology, Data Science or related disciplines
• Effective verbal and written communication in English and Chinese
• Good team player with strong interpersonal and communication skills
• Forward thinking, embracing changes, fast-learning, energetic, able to perform in challenging environment
• Peferred Qualifications
• Working experience with AWS or GCP big data technologies (S3, Redshift, EMR, Kinesis, DynomoDB, BigQuery, Data Flow)
• Experience with HBase, Kafka, Flink.
• Database design and administration experience with Oracle, Teradata or other large commercial relational database systems
• Working experience with NOSQL databases
• Experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Experience providing technical leadership and educating other engineers for best practices on data engineering.
• Candidates with less experience will also be considered