Description

You design, build, and maintain scalable data pipelines and warehouses for a banking environment.

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines using SQL, Python, and PySpark.
• Build and optimize data warehouses leveraging Snowflake for efficient storage and retrieval.
• Collaborate with cross-functional teams to translate data requirements into technical solutions.
• Monitor and troubleshoot data workflows to ensure data quality and performance.
• Document data processes following ITIL best practices.

Required Skills

• 10+ years of experience in data engineering or a related role.
• Strong proficiency in SQL, including writing complex queries for ETL processes.
• Hands-on experience with Python and PySpark frameworks.
• Deep understanding of Snowflake platform features, architecture, and best practices.
• Experience designing, implementing, and managing data warehouses.
• Experience with ITIL framework, specifically Incident and Problem Management.
• Experience using ServiceNow or Jenkins.
• Familiarity with the Banking Domain is required.

Key Skills

Education

Bachelor's degree