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KONE

Manufactures and maintains elevators, escalators, doors

Data Architecture

Data EngineeringConfirmed live in the last 24 hours
Full-timeKunshan, Suzhou, Jiangsu, ChinaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Data Science, Mathematics, or a related major is required; a master's degree is preferred.
  • At least 8 years of experience in big data, including at least 3 years in big data architecture design, and experience leading at least two medium- or large-scale projects.
  • Familiarity with deployment and optimization of Aliyun services such as MaxCompute, EMR, or DataLake Analytics, or AWS services such as Redshift, Glue, or Athena.
  • In-depth knowledge of Hadoop, Spark, Flink, Kafka, HBase, and Elasticsearch, including their principles and optimization methods.
  • Proficiency in Java, Python, or Scala.
  • Strong communication and ability to collaborate effectively with business and technical teams.
  • Technical foresight and ability to propose innovative solutions in response to industry trends.

Responsibilities

  • Participate in end-to-end big data platform architecture design covering data ingestion, storage, computing, analytics, and visualization, ensuring high availability, performance, and scalability.
  • Select cloud-platform technologies such as Aliyun MaxCompute, EMR, and DataWorks or AWS Redshift, EMR, and S3 according to business needs, and implement solutions with open-source components such as Hadoop, Spark, Flink, Kafka, and HBase.
  • Design distributed-system architectures integrating components such as real-time computing engines and time-series databases to support multiple industry scenarios.
  • Evaluate and introduce emerging technologies such as AI large language models and cloud-native technologies to improve data-processing efficiency and resource utilization.
  • Optimize big data platform performance, diagnose faults, and formulate security strategies to ensure data governance and compliance.
  • Lead medium- and large-scale data platform projects, such as data warehouses, data lakes, and real-time analytics systems, from requirements analysis through delivery.
  • Collaborate with development and operations teams to improve DataOps processes.
  • Communicate across departments, translate business needs into technical solutions, and support data-driven decision-making.

Desired Qualifications

  • Experience in machine learning or data mining, or participation in recommendation-system or computational-advertising projects.

About the Company

KONE

Manufactures and maintains elevators, escalators, doors

KONE designs, manufactures, installs, maintains, and modernizes elevators, escalators and automatic building doors for buildings worldwide. Its products move people and goods between floors in residential, commercial, and public spaces, enabling vertical transportation and safe access. Revenue comes from selling new equipment and from long-term service contracts for ongoing maintenance and modernization, creating both upfront and recurring income. What sets KONE apart is its ability to provide end-to-end solutions and a global service network, a strong emphasis on energy efficiency and sustainable design, and a broad portfolio that covers equipment, modernization, and door systems. The company’s goal is to support urban development by delivering reliable, energy-efficient vertical transportation and access solutions that improve people flow in modern buildings.

Company size
10,001+
Company stage
IPO
Headquarters
Espoo, Finland
Founded
1910

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