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Microsoft Fabric & Azure Data Engineer

  • Source: Indeed
  • Data PlatformExperts
  • Remote
  • India
  • Full-Time
  • Mid level

Job Description

Work Mode: Permanent Work from Home / Hybrid – Hyderabad
Work Timing: 4:00 PM – 1:00 AM ISTJob DescriptionWe are looking for a skilled and motivated AI Azure Data Engineer with strong expertise in the Microsoft Azure data ecosystem and Power BI. The ideal candidate must have hands-on experience with Databricks or Microsoft Fabric and hold a valid certification in either.The candidate will be responsible for designing, developing, and deploying scalable data pipelines, integrating AI/ML solutions, building analytical data models, and developing insightful Power BI dashboards and reports.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 Lake, Lakehouse, or Data Warehouse environments.
  • Develop and optimize data pipelines for performance, scalability, reliability, and data quality.
  • Design and implement Power BI dashboards, reports, and interactive visualizations based on business requirements.
  • Develop Power BI data models, relationships, calculated columns, measures, and DAX expressions.
  • Connect Power BI with Microsoft Fabric, Azure Synapse, Databricks, Azure SQL, Data Lake, and other data sources.
  • Implement Power BI row-level security (RLS), workspace management, refresh schedules, and deployment best practices.
  • Collaborate with Data Scientists and AI teams to deploy and operationalize ML models.
  • Implement data governance, security, quality, and compliance standards across data and analytics solutions.
  • Develop and maintain CI/CD pipelines for data and Power BI projects using DevOps best practices.
  • Optimize Power BI reports and datasets for performance and scalability.
  • Collaborate with business stakeholders and analytics teams to translate requirements into effective data and reporting solutions.

Required Skills & Qualifications

  • Minimum 5+ years of experience in Data Engineering within the Azure ecosystem.
  • Strong hands-on experience with Power BI, including dashboards, reports, data modeling, and DAX.
  • Strong proficiency in Azure Data Factory, Azure Synapse, Azure Data Lake, Databricks, or Microsoft Fabric.
  • Hands-on experience with Spark, Python, and SQL.
  • Experience working with Power BI Service, Power Query, semantic models, and data refresh.
  • Experience integrating Power BI with Azure/Fabric data platforms.
  • Experience in AI/ML model integration or operationalization is a plus.
  • Proficiency in version control systems and Azure DevOps.
  • Strong understanding of data modeling, data warehousing, ETL/ELT processes, and analytics.

Certifications – MandatoryAny one of the following certifications:

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

Power BI certification (PL-300) is preferred.Preferred Skills

  • Experience with Microsoft Fabric and Power BI integration.
  • Experience with real-time data processing using Azure Stream Analytics, Kafka, or similar technologies.
  • Exposure to Azure AI services such as Azure Cognitive Services and Azure Machine Learning.
  • Experience developing enterprise-level Power BI dashboards and reporting solutions.
  • Knowledge of Power BI performance optimization and governance.
  • Strong problem-solving, analytical, and communication skills.

Pay: ₹100,000.00 - ₹1,500,000.00 per year

Benefits:

  • Work from home

Application Question(s):

  • Are you ok with work timings 4 pm to 1 am (Midnight )permanent work from Home ?
  • How much notice period do you have ?
  • What is your expected CTC ?

Experience:

  • Microsoft Fabric: 3 years (Required)
  • Microsoft Azure: 8 years (Required)
  • Pyspark: 6 years (Required)

Work Location: Remote

Skills

  • microsoft-fabric
  • microsoft-azure
  • mode
  • azure-data-factory
  • azure-databricks
  • databricks
  • power-bi
  • azure-synapse
  • microsoft-azure-synapse
  • azure-sql
  • workspace
  • Spark
  • Python
  • azure-devops
  • Kafka
  • azure-cognitive-services
  • azure-machine-learning
  • pyspark

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