Self Financial is looking to increase economic inclusion and financial resilience by empowering people to build credit and build savings, particularly for the 100 million+ Americans who have no or low credit.
Requirements
5+ years of experience with database development, database integration, and data analytics tools
5+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball)
Proficient in managing Data ETL/ELT with large data sets
Experience with columnar data structures such as Amazon RedShift
Familiarity with AWS data warehousing tools.
Experience with common software engineering tools such as Git, JIRA, Confluence and similar platforms.
Familiarity with Apache Airflow and Python
Responsibilities
Collaborate closely with Product Management and the team to design and implement data models.
Perform data model design, project analysis, work breakdown, and planning.
Create physical and logical data models for large, complex datasets.
Manage data pipelines and ETL/ELT processes using SQL and Python.
Maintain data lifecycle processes and uphold data quality standards.
Design and implement our data model, as well as populating data schemas within Self Financial's data environment for use in business intelligence and data analysis activities.
Ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to our team members.
Other
Excellent listening, interpersonal, written, and oral communication skills
U.S. Citizens or Green Card Holders for employment opportunities
Successfully pass a background check
Bachelor's degree or higher (not explicitly mentioned but implied)
