Senior Azure Data Engineer

16 hours ago

Vadodara, Gujarat, India Macersoft Technologies Full time

permanent work from HomeWork Timing -4 PM -1  Am 

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.Role & responsibilities

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