FNZ is seeking a Data Engineer for its Analytical Warehouse team to develop and maintain data pipelines using Microsoft Fabric. The ideal candidate will have extensive experience in data engineering, specifically with analytical workloads, and possess strong technical skills in SQL, PySpark, and data transformation frameworks
Job Summary
FNZ is a global fintech firm transforming financial institutions by combining cutting-edge technology with investment operations to serve over $1.5 trillion in assets.
The role focuses on building real-time data ingestion pipelines from Kafka to Microsoft Fabric OneLake while implementing Bronze/Silver/Gold layering strategies.
Candidates will design semantic layers for business metrics like AUM and NAV, ensuring governed access and consistent definitions across all client consumption channels.
Matching Summary
Match Score: 85
FNZ is seeking a Data Engineer for its Analytical Warehouse team to develop and maintain data pipelines using Microsoft Fabric. The ideal candidate will have extensive experience in data engineering, specifically with analytical workloads, and possess strong technical skills in SQL, PySpark, and data transformation frameworks.
Skills & Requirements
Must-have
Microsoft Fabric experience
Kafka Connect sink connectors
SQL-based transformation frameworks
OneLake storage management
PySpark or Spark SQL proficiency
Delta Lake table format knowledge
CI/CD pipeline implementation
Nice-to-have
Wealth Management domain knowledge
Apache Iceberg table format experience
Great Expectations or Soda integration
Semantic layer tool familiarity
Data catalog and lineage tools
Microsoft Fabric certifications
Azure Data Engineer certification
Key Requirements
Bachelor's degree in Computer Science or related field
4+ years of hands-on data engineering experience
Strong SQL skills including window functions and CTEs
Experience with Azure Synapse Analytics or Data Factory