Microsoft Fabric with Azure Consultant

EST Time zone candidates only

Below is the JD -

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:

• 9 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.