Warehouse Data Engineer Loc : San Francisco, CA
100,000 - 200,000
Job Description:
Reponsibilities:::
Design, develop, automate, monitor and maintain Extract Transform Load (ETL) data movement applications
Develop dashboards and reports to support clients consumer and industry marketing initiatives, as well as to monitor performance of other areas of the company
Partner with internal business units to define, scope, plan, and build metrics, reports, and dashboards to support data driven decision making
Perform specialized ad-hoc analysis as needed
Become an expert in digital marketing analytics and provide trustworthy advice and analysis
Identify, analyze, and interpret trends or patterns in complex data sets
Deliver structured analyses to client leadership to support strategic and operational planning and execution
Partner with Product and Technology teams to architect and implement data capture and tracking methodologies
Ideal Candidate
Understanding of data warehouse and master data management approaches, ETL industry standards and best practices
Expert SQL and database tuning skills for relational platforms (PostgreSQL, Oracle) is a plus
Advanced Python programming skills
Linux/Unix experience
Intermediate to advanced skill level with Tableau or similar data analysis/visualization tools (Tableau specifically preferred)
Familiarity with Revision Control
Familiarity with CRM platforms such as Salesforce
Experience in a FinTech related company or in Digital Marketing a plus
5+ years experience developing data warehouse systems
3-5 years experience working in analytics or a data analysis related field
Experience in a FinTech related company or in Digital Marketing
Intermediate to advanced skill level with Tableau or similar data analysis/visualization tools (Tableau specifically preferred)
Advanced SQL skills
Intermediate R and/or Python programming skills
Experience using relational databases such as Postgres, MySQL, Oracle
Working knowledge of descriptive statistics
Familiarity with CRM platforms such as Salesforce
Bachelor\'s degree in a quantitative or business related field (i.e. Economics, Statistics, Finance, Business, Marketing)