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Senior Fabric Data Engineer (Microsoft Fabric)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Fabric Data Engineer (Microsoft Fabric/Azure): Designing and developing scalable data platforms, pipelines, lakehouses, and data warehouses with an accent on PySpark, SQL, orchestration, and secure real-time data operations. Focus on optimizing production pipelines, implementing CI/CD and infrastructure-as-code, enforcing data governance, and contributing to architectural decisions.

Location: Penang 15, Penang, Malaysia; Shift 1 (Malaysia)

Company

Data & Analytics organization developing modern, scalable data platforms and secure data operations.

What you will do

  • Design, build, and optimize scalable data pipelines using Microsoft Fabric, Azure Data Factory, Databricks, PySpark, and SQL.
  • Architect and implement lakehouse and data warehouse solutions on Microsoft Fabric.
  • Develop ETL/ELT workflows, complex queries, stored procedures, and data orchestration processes.
  • Collaborate with data scientists, analysts, business analysts, and engineers to ensure efficient data delivery and model readiness.
  • Deploy, monitor, and troubleshoot production pipelines using CI/CD and infrastructure-as-code practices.
  • Enforce data quality, governance, security, and compliance standards while mentoring junior engineers.

Requirements

  • 7+ years of experience in data engineering with strong knowledge of cloud data platforms.
  • Proficiency in PySpark, Azure Data Factory, Databricks, SQL, and Microsoft Fabric or similar unified analytics platforms.
  • Strong understanding of data engineering principles, data modeling, data warehousing, and lakehouse architectures.
  • Experience with CI/CD pipelines, Git, and deployment automation tools such as Azure DevOps or GitHub Actions.
  • Bachelor’s or master’s degree in computer science, information systems, engineering, or a related field.
  • Strong problem-solving skills and ability to work across technical and business teams.

Nice to have

  • Experience with Delta Lake, Synapse Analytics, and other Azure analytics services.
  • Knowledge of Terraform, ARM templates, or similar infrastructure-as-code tools.
  • Microsoft certifications in Azure Data Engineering or Fabric.
  • Experience implementing data observability and lineage tools such as Unity Catalog or Purview.

Culture & Benefits

  • Regular full-time employment.
  • Collaboration across data, analytics, engineering, and business functions.
  • Focus on scalable, reliable, secure, and high-performance data operations.

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