Azure Data Engineer

2 weeks ago

Ahmedabad, Gujarat, India Macersoft Technologies, a DataPlatformExperts Company Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job Description:

We are looking for a skilled and motivated 
AI Azure Data Engineer
 with strong expertise in Microsoft Azure data services. The ideal candidate must have hands-on experience with 
Databricks
 or 
Microsoft Fabric
 and hold a valid certification in either. You will be responsible for designing, developing, and deploying scalable data pipelines, integrating AI/ML solutions, and supporting analytics platforms.

Key Responsibilities:

  • Design and develop end-to-end data pipelines using Azure Data Factory, Databricks, or Microsoft Fabric.
  • Integrate structured and unstructured data from various sources into Azure data lakes or lakehouses.
  • Optimize and manage data pipelines for performance, scalability, and reliability.
  • Collaborate with Data Scientists and AI teams to deploy and operationalize ML models.
  • Implement data governance, quality, and security standards across pipelines.
  • Develop and maintain CI/CD pipelines for data projects using DevOps best practices.
  • Create data visualizations and support analytics teams using tools like Power BI.

Required Skills & Qualifications:

  • Minimum 
    3+ years of experience
     in data engineering with Azure ecosystem.
  • Strong proficiency in 
    Azure Data Factory, Azure Synapse, Azure Data Lake, Databricks
    , or 
    Microsoft Fabric
    .
  • Hands-on experience with 
    Spark
    , 
    Python
    , and 
    SQL
    .
  • Experience in AI/ML model integration or support is a plus.
  • Proficiency in version control systems and DevOps tools.
  • Strong understanding of data modeling, data warehousing, and ETL processes.

Certifications (Mandatory):

  • Microsoft Certified:
     Azure Data Engineer Associate
  • OR
  • Databricks Certified Data Engineer Associate/Professional
  • OR
  • Microsoft Fabric Analytics Engineer Associate

Preferred:

  • Experience with real-time data processing (e.g., Azure Stream Analytics, Kafka).
  • Exposure to AI services in Azure (e.g., Azure Cognitive Services, Azure ML).
  • Strong problem-solving and communication skills.

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