Description

You will design and develop enterprise data warehouse solutions, leveraging SQL, Python, and PySpark to build robust data pipelines.

This role is hybrid.

Responsibilities

• Design and develop enterprise data warehouse solutions and data pipeline architectures.
• Build and maintain ETL pipelines for new and existing data sources using SQL and Python.
• Perform code reviews to ensure adherence to standards and optimal execution.
• Utilize Snowflake utilities like SnowSQL and SnowPipe for data ingestion and management.

Required Skills

• 10+ years of experience in Enterprise Data Management and SQL Server development with large datasets.
• 5+ years of experience with Data Warehouse Architecture, including OLTP, OLAP, dimensions, and facts.
• 3+ years in the Finance or Banking industry, with a solid understanding of Securities and Banking products.
• 2+ years of Python coding experience.
• Hands-on experience with Snowflake utilities (SnowSQL, SnowPipe).
• Working knowledge of MS Azure configuration items related to Snowflake.
• Experience with cloud-based data architectures, messaging, and analytics.

Preferred Skills

• Experience leading an enterprise-wide Cloud Data Platform migration.
• Familiarity with PySpark architecture.

Key Skills

Education

Any Graduate