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Data Engineer

uDomain  ·  Hong Kong, Remote (Hong Kong)
Remote Full-time Not specified Engineering

Job Description

Data Engineer (ref: UD-DE-26)

Responsibilities

  • Design and develop scalable data pipelines for collecting, processing, and storing infrastructure metrics
  • Build ETL/ELT systems to integrate data from multiple monitoring sources for AI/ML applications
  • Optimize databases and data warehouses for analytics and machine learning workloads
  • Develop data validation and quality assurance frameworks
  • Collaborate with AI/ML engineers to prepare datasets for model training
  • Monitor and maintain data pipeline performance and reliability
  • Implement data governance and security best practices
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Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (2+ years experience acceptable for non-degree holders)
  • 2+ years professional experience in data engineering or related fields
  • Strong SQL proficiency and experience with relational databases (PostgreSQL, MySQL)
  • Experience with NoSQL databases (MongoDB, Cassandra, or similar)
  • Proficiency in Python or Java for data processing
  • Experience with big data technologies (Spark, Hadoop) is preferred
  • Familiarity with cloud data platforms (Snowflake, BigQuery, Redshift) is a plus
  • Knowledge of Apache Kafka or similar streaming platforms is beneficial
  • Understanding of data modeling, ETL design patterns, and distributed systems
  • Experience with containerization and orchestration (Docker, Kubernetes)