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Data Engineer

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NTT DATA

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Location:
Vietnam , Hanoi ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Engineer will play a key role in designing, building, and optimizing the Azure-based data platform that supports enterprise analytics and business intelligence. This position is responsible for developing scalable data pipelines, implementing robust data models, and enabling high‑quality insights through Power BI and Azure Synapse Analytics.

Job Responsibility:

  • Design and maintain end to end Azure data architectures, ensuring scalability, reliability, and performance
  • Build and optimize Azure Synapse Analytics (Dedicated SQL Pool / Serverless SQL Pool) data warehouses
  • Develop ETL/ELT pipelines using Azure Synapse Pipelines and Azure Data Factory
  • Design dimensional data models following Star Schema and Snowflake methodologies
  • Develop and optimize Power BI datasets, semantic models, DAX measures, and dashboards
  • Implement data security and governance, including Row-Level Security (RLS) and best practice data governance standards
  • Troubleshoot performance issues across data pipelines, data models, and BI layers
  • Mentor junior engineers, review code, and contribute to architectural and technical decision making

Requirements:

  • Excellent problem-solving and analytical skills
  • Strong communication skills to articulate complex technical concepts to stakeholders
  • Ability to work effectively in a fast-paced, collaborative global environment
  • 3+ years of experience in Data Engineering or Analytics Engineering
  • Strong hands on experience with Azure Synapse Analytics or Azure Data Factory
  • Advanced SQL expertise, including performance tuning and complex data transformations
  • Solid experience with Power BI (data modeling, DAX, dataset optimization)
  • Experience developing ETL/ELT workflows with ADF/Synapse Pipelines
  • Strong understanding of data warehousing, BI architecture, and modern data stack concepts

Nice to have:

  • Experience with ADLS Gen2, Databricks / Spark, and Python
  • Knowledge of CI/CD for data and BI (e.g., Azure DevOps, GitHub Actions)
  • Experience in Azure cost monitoring and optimization
What we offer:
  • Competitive salary based on agreement
  • Full social insurance coverage based on salary
  • Probation with 100% salary
  • Annual bonuses and regular salary reviews
  • Training sponsorship for professional courses and certification exams
  • Comprehensive healthcare coverage for staff and their families
  • Regular health check-ups
  • 15 days of paid annual leave, plus 1 additional day for every 3 years of service, up to 20 days

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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