Data Engineer - Big Data

Razer

Singapore, Singapore
On-site
Python, sql with software programming best practices
Data processing techniques (streaming, batch, event-based)
Data storage (data lake, data warehouse, vector data stores)
Razer is seeking a Data Engineer in Singapore to design and maintain scalable data processing systems that support analytics and AI initiatives. The ideal candidate will have at least two years of experience in data engineering, with strong proficiency in ELT/ETL pipelines, cloud platforms, and data processing techniques

Job Summary

  • This role is responsible for designing, building, and maintaining scalable, high-volume data processing systems that support Razer’s internal analytics and AI use cases.
  • The Data Engineer enables the reliable collection, transformation, and storage of raw data into high-quality, trusted datasets for data scientists, business analysts, and downstream applications.
  • Joining Razer will place you on a global mission to revolutionize the way the world games.

Matching Summary

Match Score: 85

Razer is seeking a Data Engineer in Singapore to design and maintain scalable data processing systems that support analytics and AI initiatives. The ideal candidate will have at least two years of experience in data engineering, with strong proficiency in ELT/ETL pipelines, cloud platforms, and data processing techniques.

Skills & Requirements

Must-have

  • Python, SQL with software programming best practices
  • Data processing techniques (streaming, batch, event-based)
  • Data storage (Data Lake, Data Warehouse, Vector Data Stores)
  • Cloud-based data platforms (AWS, Snowflake, BigQuery, Azure)
  • Pipeline orchestration tools (Airflow)
  • Distributed computing framework (Spark, Dask)
  • Data transformation tool (DBT)
  • Version control systems (Git)
  • CI/CD pipelines (Bitbucket pipelines)
  • IAC tools (Terraform)
  • Containerization tools (Docker)
  • Container orchestration platforms (Kubernetes)

Nice-to-have

  • Integrating AI into data engineering
  • Excellent written and verbal communication skills
  • Good team player

Key Requirements

  • Minimum of 2 years of hands-on experience in data engineering
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

Work Rights

Not specified

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