• Design, develop, and maintain data ingestion, transformation, and orchestration pipelines using Microsoft Fabric and Azure Data Factory (ADF).
• Build and manage ETL/ELT processes for structured and unstructured data sources.
• Develop and optimize data models, data lakes, and data warehouses within the Azure ecosystem.
• Integrate data from multiple on-premises and cloud-based systems.
• Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
• Implement data quality, governance, and security best practices.
• Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.
• Develop and maintain technical documentation, data dictionaries, and operational procedures.
• Support reporting and analytics platforms such as Power BI.
• Participate in data platform modernization and cloud migration initiatives.implementing improvements.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 4–6 years of experience in data engineering or related roles.
• Strong experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, and Dataflows.
• Hands-on experience with Azure Data Factory (ADF).
• Proficiency in SQL and data modeling concepts.
• Experience with Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL Database.
• Strong understanding of ETL/ELT design and implementation.
• Experience with REST APIs, data integration, and automation.
• Knowledge of CI/CD practices and version control tools such as Git.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Microsoft Azure Data Engineer certification (DP-203) or Microsoft Fabric certification.
• Experience with Python, PySpark, or Spark-based data processing.
• Experience with Power BI and analytics solutions.
• Knowledge of DevOps and Infrastructure-as-Code practices.
• Experience working in Agile environments.
Technical Skills
• Microsoft Fabric
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS Gen2)
• Azure Synapse Analytics
• Azure SQL Database
• SQL Server
• PySpark / Spark
• Python
• Power BI
• Git / Azure DevOps
• REST APIs
Key Competencies
• Data Integration & ETL/ELT Development
• Data Modeling & Warehousing
• Performance Optimization
• Problem Solving & Troubleshooting
• Stakeholder Management
• Documentation & Knowledge Sharing
• Team Collaboration
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