About this role

Design, develop, and optimize data pipelines and ETL processes using Microsoft Fabric, Azure Data Factory (ADF)
Implement data warehousing solutions and support end-to-end data lifecycle management
Work with SQL to write complex queries, optimize performance, and manage data transformation
Utilize Azure Portal to manage and monitor cloud-based data infrastructure
Collaborate with stakeholders to understand data requirements and build data models for analytics and reporting
Ensure data integrity, security, and governance in alignment with best practices
Troubleshoot data pipeline issues and optimize cloud-based data workflows
Stay up to date with Azure and Microsoft Fabric advancements to enhance data engineering processes

Bachelor’s degree in Computer Science, or equivalent practical knowledge/experience
2+ years of experience in Data Engineering
Strong expertise in SQL, including query performance tuning and stored procedures
Hands-on experience with Data Warehousing concepts, star/snowflake schema, indexing, and partitioning
Proficiency in Microsoft Fabric, Azure Data Factory (ADF) for ETL/ELT workflows
Working knowledge of Azure Portal for resource management and monitoring
Understanding of Microsoft Fabric and its role in data analytics
Familiarity with Azure Data Services (e.g., Azure Synapse, Azure SQL Database, Azure Storage)
Experience in data modeling, data governance, and metadata management
Strong analytical and problem-solving skills with the ability to debug and optimize data pipelines
Experience with Python or Spark for data transformations (preferred)
Exposure to real-time data processing (e.g., Azure Event Hubs, Stream Analytics) (preferred)
Certifications in Azure Data Engineering (e.g., DP-203), Fabric Certifications (DP600, DP700) or relevant Microsoft certifications (preferred)
Understanding of Power BI or other visualization tools (preferred)

Data Engineer – Consultant

Key skills