Description

You will design, build, and maintain data structures and systems to support analytics and data product use cases.

This role is on-site.

Responsibilities

• Build data pipelines to collect, arrange, and manage data storage in big data environments.
• Develop testable programs for moving, transforming, and loading data using Spark.
• Design and deploy frameworks and microservices to serve data assets to consumers.
• Translate customer needs into data design requirements and ensure data quality and integrity.
• Consult with organization areas to automate data products and turn data into business value.

Required Skills

• 3+ years of data-oriented experience managing data and analytics resources.
• Proficiency in Python and SQL.
• Experience with Snowflake, AWS, or other cloud technologies.
• Proven record of delivering operational data solutions, including Report and Model Ready Data Assets.
• Experience building data solutions at scale and designing relational data structures.
• Ability to transform and integrate complex data from multiple sources.
• Bachelor's degree in Business or a technical related field.

Preferred Skills

• Background in Big Data Engineering and Advanced Data Analytics.
• Prior banking or financial services experience.

Key Skills

Education

Bachelor's degree in Business