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Data Engineer

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Onsite

Data Engineer

iSoftStone

Data Engineer

Skills

SQL QueriesBig DataData EngineeringPythonJavaData AnalysisDigital Transformation

5 days ago

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Important information


Contract type:

Freelance / Contract

Work mode:

Onsite

Published on:

14 October 2026

What they need


About Us:

A leading global technology conglomerate renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.

Job Description:

  • Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
  • Develop, maintain, and optimise data processing pipelines for data modelling, analysis, and business intelligence.
  • Work with relational and distributed databases to extract, transform, process, and manage large volumes of data efficiently.
  • Write and optimise SQL queries and data processing scripts to ensure data accuracy, performance, and reliability.
  • Support the development of batch and streaming data pipelines for big data processing and analytics.
  • Collaborate with business stakeholders and cross-functional teams to understand data requirements, conduct analysis, and deliver effective data solutions.
  • Communicate with China-based stakeholders in Mandarin to gather business requirements, clarify technical specifications, and discuss data-related issues.

Job Requirement:

  • Bachelor's Degree in Computer Science, Data Engineering or related courses
  • 1+ years of working experience in data engineering filed
  • Good understanding of various types of databases, including relational databases and distributed databases
  • Good understanding of Python/Java, SQL, HiveQL/SparkSQL and the relevant best practices/ techniques for perf tuning
  • Good analytical and technical skills in building batch/streaming data pipelines for big data, with experience using big-data processing engine like spark/flink/hive
  • Business proficiency (written and spoken) in Mandarin to communicate both verbally and in writing with non-English speaking counterparts based in China for gathering requirements and analysis

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