Big Data Engineer

2 weeks ago


Petaling Jaya, Selangor, Malaysia Lenovo Full time

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.

Description and Requirements

Job Responsibilities:

Participate in the design, development, and maintenance of big data platforms to support massive data storage, computation, and analysis needs. Assist in building data warehouses, real-time/offline data processing systems, and optimizing data pipeline performance. Contribute to ETL (Extract, Transform, Load) workflow development, supporting data cleansing, transformation, and modeling based on business requirements. Learn and apply big data frameworks (e.g., Hadoop, Spark, Flink) to solve business problems. Collaborate with algorithm engineers and product managers to enable data-driven decision-making.

Requirements:

Education: Fresh graduates with a bachelor's or master's degree in Computer Science, Software Engineering.

Skills:

  • Proficiency in at least one programming language (Python/Scala).
  • Familiarity with big data ecosystem tools (Hadoop/Spark/Hive/HBase/Kafka, etc.).
  • Strong SQL skills and foundational data analysis capabilities.
  • Basic understanding of distributed systems and database principles.

Preferred Qualifications:

  • Experience in big data-related internships or projects.
  • Knowledge of OLAP engines (ClickHouse/Doris/StarRocks, etc.).
  • Familiarity with cloud platforms (AWS/Alibaba Cloud) or containerization technologies (Docker/Kubernetes).

Soft Skills:

  • Strong logical thinking, self-learning ability, and passion for technology.
  • Excellent communication skills and teamwork mindset.
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