Azure Data Engineer with Fabric & Synapse

FUSTIS LLC is seeking an Azure Data Engineer to design, develop, and support data solutions on the Microsoft Fabric platform. The role involves implementing scalable data architectures and ensuring data reliability and performance for analytics and reporting.

Responsibilities:

• Design and implement data ingestion and transformation pipelines using Fabric Data Factory and related services
• Develop and manage Lakehouse architectures, including ingestion into Delta tables
• Develop and maintain notebooks (PySpark / Spark SQL) for data transformation and enrichment
• Create and maintain semantic models to support reporting and analytics use cases
• Implement data quality checks, validation, and monitoring for ingestion pipelines
• Collaborate with analysts, Power BI developers, and stakeholders to deliver data solutions aligned with business needs
• Optimize performance and cost across data workloads
• Contribute to evolving best practices, standards, and patterns for Microsoft Fabric adoption

Requirements:

• 5–7 years of experience in Data Engineering or related roles
• Hands-on experience with modern data platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar)
• Understanding of lakehouse architecture and distributed data processing concepts
• Proficiency in SQL and experience with data modeling concepts (star schema, semantic layers)
• Experience building and orchestrating data pipelines (ETL/ELT)
• Familiarity with Spark (PySpark or Spark SQL) and notebook-based development
• Experience working with structured and semi-structured data (JSON, Parquet, etc.)
• Exposure to Microsoft Fabric or its core components (Lakehouse, Data Factory, Synapse Data Engineering, Power BI)
• Experience with Power BI semantic models and integration with data platforms
• Knowledge of Delta Lake and medallion architecture (bronze/silver/gold layers)
• Familiarity with CI/CD practices in data engineering (e.g., deployment pipelines, version control)
• Experience working in Azure ecosystem (ADLS, Azure Functions, etc.)
• Knowledge of data governance, lineage, and security practices
• Prior experience in migrating workloads to new platforms