Description

You will design, build, and maintain data structures and systems to support analytics and data product use cases. You will construct strategic and tactical data stores by collaborating with Data Scientists, Data Modelers, and business stakeholders.

Responsibilities

• Build data pipelines to collect, arrange, and manage data storage in big data environments.
• Develop robust, testable programs for moving, transforming, and loading data using tools like 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