Data Engineer (Python + Azure)

Ho Chi Minh, Vietnam, Viet Nam
Full Time
Custom Development
Experienced

Responsibilities
  • Design, develop, and optimize scalable data pipelines using Python and Azure Data Services.
  • Build and manage data workflows using Azure Data Factory, Databricks, and Azure Synapse Analytics.
  • Develop and maintain ETL/ELT processes to support analytics and reporting.
  • Collaborate with data scientists and analysts to support data needs and enable actionable insights.
  • Ensure data integrity, governance, and security across all platforms.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Write clean, testable, and efficient code following best practices.
  • Participate in code reviews and documentation.

Profile
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering or a similar role.
  • Strong proficiency in Python for data manipulation and pipeline development.
  • Hands-on experience with Azure Data Services (e.g., Azure Data Factory, Azure Databricks, Azure Synapse, Azure Blob Storage)
  • Experience with SQL and relational/non-relational databases (e.g., SQL Server, Cosmos DB).
  • Familiarity with data modeling, warehousing, and performance tuning.
  • Understanding of CI/CD pipelines and version control (e.g., Git).
  • Excellent problem-solving and communication skills.
  • Experience with big data tools such as Spark or Kafka.
  • Knowledge of DevOps practices and tools (e.g., Azure DevOps).
  • Exposure to machine learning workflows or MLOps.
  • Certification in Microsoft Azure (e.g., Azure Data Engineer Associate).

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