Operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management
Your primary focus will be on leading the data pipeline, modeling, and populating data schemas within Self Financial's Data Environment for use in business intelligence and data analysis activities.
Collaborating closely with Product Management to translate Self Financial's strategic vision into actionable projects.
Architecture design, project analysis, work break down and planning.
Creating Physical and Logical Data Models with large, complex data sets
Managing data pipeline, ETL/ELT processes using SQL and Python
Maintaining data lifecycle and quality standards

Requirements

6+ years of experience with database development, database integration, and data analytics tools
6+ years of experience designing and implementing complex Data Warehouse and Data Lake data models (Kimball)
Willingness to embrace the responsibilities of team leadership and accountability for team results
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
Excellent listening, interpersonal, written, and oral communication skills

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

database developmentdatabase integrationdata analyticsData WarehouseData Lakedata modelingETLELTSQLPython

Soft Skills

team leadershipaccountabilitycommunicationinterpersonal skillslistening skills