Description

You will design and implement data solutions within the Azure ecosystem, owning the full lifecycle from ingestion to API delivery.

This role is on-site.

Responsibilities

• Build and maintain ETL/ELT processes using Python and PySpark.
• Implement data solutions using Azure Data Factory, Azure Lake Gen 2, and Azure Data Fabric.
• Develop and manage APIs using FastAPI or similar Python frameworks.
• Manage data integration via Azure Functions and API Gateway.
• Integrate data workflows into the DevOps lifecycle using Git and Jenkins.

Required Skills

• 10+ years of software development experience using Python and PySpark.
• Extensive experience with Azure cloud services and Azure Databricks.
• Strong SQL skills with RDBMS or NoSQL databases.
• Hands-on experience with Azure Data Factory and Azure Lake Gen 2.
• Proficiency in API development and API Gateway management.
• Practical knowledge of CI/CD processes and DevOps tools like Git and Jenkins.
• Bachelor's degree in Computer Science.

Preferred Skills

• Experience in the financial services industry, specifically with financial instruments, asset classes, and market data.

Key Skills

Education

Bachelor's degree in Computer Science