Azure Data Engineer

Job Opportunity:

Azure Data Engineer / Data Architect

Responsibilities

• Design, develop, and maintain

  end-to-end data solutions

  on Azure using native services (ADF, Synapse, Databricks, Data Lake, etc.).
• Implement

  Azure Data Fabric

  solutions for unified data access and processing across the enterprise.
• Architect, design, and optimize data pipelines, ETL/ELT workflows, and data integration processes.
  
• Collaborate with business and technical teams to gather requirements and deliver high-quality data solutions.
  
• Ensure

  data governance, security, and compliance

  in all data solutions.
• Monitor and troubleshoot data workflows, ensuring high performance and reliability.
  
• Evaluate new Azure services and tools to continuously improve data architecture and processes.
  

Required Skills & Qualifications

• 7+ years of experience

  in data engineering and architecture, with strong expertise in

  Azure cloud services

  .
• Hands-on experience with

  Azure Data Factory, Synapse Analytics, Databricks, Azure Data Lake, and Fabric components

  .
• Strong understanding of

  data modeling, architecture patterns, and best practices

  in cloud data platforms.
• Proficiency in

  SQL, Python, Spark, and other data processing languages

  .
• Experience with

  data governance, security, and compliance frameworks

  .
• Ability to work collaboratively in a

  cross-functional, international team environment

  .
• Excellent problem-solving, analytical, and communication skills.
  

Preferred Skills

• Experience with

  CI/CD for data pipelines

  and automation of data workflows.
• Familiarity with

  Power BI or other visualization tools

  for data delivery.
• Exposure to

  real-time data streaming and event-driven architecture

  in Azure.

  Role & responsibilities