Description

Lead the design and maintenance of scalable data solutions for investment management data warehousing initiatives.

This role is on-site.

Responsibilities

• Develop and optimize data pipelines using Azure Cloud services.
• Design and implement ETL processes to ingest and transform data into Snowflake.
• Implement Data Vault 2.0 methodologies to ensure warehouse scalability and integrity.
• Collaborate with architects and stakeholders to translate business requirements into technical data models.
• Monitor and optimize the performance of data pipelines and warehouse operations.

Required Skills

• 5+ years of experience in data engineering, ETL, and data modeling.
• Proficiency in SQL, Python, or Java for data manipulation and automation.
• Extensive hands-on experience with Snowflake or similar cloud data warehousing platforms.
• Strong proficiency in Azure Cloud services.
• Proven implementation experience with Data Vault 2.0 methodology.
• Experience with data governance frameworks and best practices.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Bachelor's degree