Data Science Engineer

HAIER SINGAPORE INVESTMENT HOLDING PTE. LTD.

Singapore, Singapore
**
Azure data factory experience
Databricks and spark development
Etl process design and maintenance
** Haier Singapore is seeking a Data Science Engineer to join its global big data team, focusing on data integration, storage, processing, and analysis to support the company’s overseas business systems. Ideal candidates will have a strong background in data engineering, AI/ML, and business intelligence, along with experience in cloud platforms and databases. **

Job Summary

  • Join Haier Singapore's global big data team to develop and maintain data infrastructure supporting over 80 countries.
  • Design robust ETL processes using Azure Data Factory and Databricks to integrate diverse data sources into a unified platform.
  • Develop and optimize machine learning models including generative AI while ensuring security compliance and data accuracy.

Matching Summary

Match Score: 75

** Haier Singapore is seeking a Data Science Engineer to join its global big data team, focusing on data integration, storage, processing, and analysis to support the company’s overseas business systems. Ideal candidates will have a strong background in data engineering, AI/ML, and business intelligence, along with experience in cloud platforms and databases. **

Skills & Requirements

Must-have

  • Azure Data Factory experience
  • Databricks and Spark development
  • ETL process design and maintenance
  • Machine learning model training
  • Power BI dashboard creation
  • Azure Data Lake Storage management

Nice-to-have

  • Generative AI knowledge
  • Cross-functional collaboration skills
  • Strong communication abilities
  • Continuous improvement mindset
  • Knowledge of SAP or Salesforce

Key Requirements

  • Bachelor's or Master's degree in Data Science or related field
  • Extensive experience in Business Intelligence and AI/ML
  • Proficiency with Hadoop, Hive, Impala, Spark, Python, and R
  • Experience with cloud platforms Microsoft Azure and AWS
  • Solid business understanding of B2B and B2C sales environments

Work Rights

Not specified

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