Description

You will design and develop enterprise data warehouse solutions.

Responsibilities

• Design and develop Enterprise Data Warehouse solutions.
• Leverage SQL, programming languages, and ETL tools to build data pipeline solutions for new and existing data sources.
• Perform code reviews to ensure adherence to standards and optimal execution.
• Develop data pipeline solutions to ingest and exploit data sources.
• Discuss enterprise-level services independent of the technology stack.

Required Skills

• 10+ years in Enterprise Data Management.
• 10+ years experience with SQL Server development of large datasets.
• 5+ years experience with Data Warehouse Architecture.
• 3+ years in Finance/Banking industry, understanding Securities and Banking products.
• 2+ years Python coding experience.
• Hands-on experience with Snowflake utilities (SnowSQL, SnowPipe).
• Experience in Data warehousing (OLTP, OLAP, Dimensions, Facts, Data modeling).
• 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