Microsoft Fabric with Azure

(Multiple states)
Contracted
Experienced
Job Role: Microsoft Fabric with Azure
Location: NY/ NJ (Hybrid)
Rate: DOE

JD:
Resource with 10 to 12 years of experience.
Microsoft Fabric POC Implementation
  • Collaborate closely with stakeholders to understand business requirements and technical objectives.
  • Lead the implementation and validation of the Microsoft Fabric POC, ensuring alignment with enterprise architecture and data strategy.
  • Evaluate and demonstrate the capabilities of Microsoft Fabric in real-world scenarios.
2. Data Pipeline Design & Development
  • Design and build scalable, efficient, and secure data pipelines using:
    • Azure Synapse Analytics
    • Azure Data Factory
    • Azure Data Lake Storage
    • Microsoft Fabric Dataflows and Lakehouses
  • Ensure seamless integration of structured and unstructured data from diverse sources (on-prem, cloud, APIs, etc.).
3. Data Integration & Transformation
  • Develop robust ETL/ELT processes to cleanse, transform, and enrich data for analytics and reporting.
  • Optimize data ingestion and transformation workflows for performance and reliability.
  • Implement real-time and batch data processing strategies.
4. Technical Guidance & Best Practices
  • Provide architectural and technical guidance to internal teams and stakeholders.
  • Establish and promote coding standards, version control practices, and CI/CD pipelines for data engineering.
  • Mentor junior engineers and contribute to knowledge sharing across teams.
5. Data Governance & Metadata Management
  • Implement data governance frameworks using Microsoft Purview:
    • Metadata cataloguing
    • Data lineage tracking
    • Access control and policy enforcement
  • Ensure compliance with data privacy and security standards.
6. Code Review & Optimization (Bonus)
  • Utilize tools like Databricks AI Assistant, Pylint, and other linters to review and optimize code quality.
  • Collaborate with cross-functional teams to streamline branching and merging strategies.
 
Required Skills & Qualifications:
  • 10 to 12 years of experience in data engineering or related roles.
  • Strong hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory, and Azure Data Lake.
  • Proficiency in SQL, Python, and PySpark.
  • Experience with Databricks is highly desirable.
  • Familiarity with Microsoft Purview for data governance.
  • Strong understanding of data architecture, ETL/ELT design patterns, and cloud-native data solutions.
  • Excellent communication and collaboration skills.
 
Preferred Qualifications:
  • Microsoft certifications in Azure Data Engineering or Fabric.
  • Experience in implementing POCs and presenting technical findings to stakeholders.
  • Exposure to Agile methodologies and DevOps practices.

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