Python Developer
Core
Design, develop, and support enterprise data solutions, specifically modernizing an on-premise SQL Data Warehouse to a cloud-native Lakehouse architecture using Azure Databricks and Microsoft Fabric.
Role type
VP Data Warehouse Python Developer
Builds
Cloud-based ETL/ELT pipelines, data integration processes, and a modernized Lakehouse architecture.
Domain
Financial Services / Banking / Data Engineering
Required skills
Azure Databricks, Microsoft Fabric, SQL Server, T-SQL, Python, ETL/ELT design, Lakehouse architecture, Medallion data models, AutoSys, JIL scripting, data modeling, performance tuning
Preferred skills
Financial Services domain knowledge, Power BI, Azure Data Factory, cloud certifications
Technologies
Azure Databricks, Microsoft Fabric, SQL Server, AutoSys, JIL
Responsibilities
Design and develop enterprise data solutions; Build and optimize cloud-based ETL/ELT pipelines; Drive modernization from SQL Server to Lakehouse; Implement Medallion data models; Maintain AutoSys job schedules and workflow orchestration; Participate in production support and incident resolution; Collaborate with stakeholders on scalable data solutions.
Seniority
VP, hands-on IC