CEFCU is seeking to enhance its Data and Analytics strategy by hiring a Data Engineer. The role involves implementing analytics and reporting resources, maintaining the primary analytics environment, and developing database models and data integration solutions.
Responsibilities:
- Supports and helps implement CEFCU's Data and Analytics strategy
- Helps to increase timely, transparent accessibility across the organization for CEFCU’s enterprise data via appropriate analytics and reporting resources
- Helps expand, maintain and administer CEFCU’s primary analytics environment, including data model and dictionary, ELT processes, connector development, and more
- Develops database models/data integration solutions and supports existing data solutions/platforms
Requirements:
- Bachelor's degree in computer or information science, or equivalent experience
- 2-4 years working with high-level programming languages such as Python
- 4-6 years' experience and knowledge of SQL
- 2-4 years' experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong written and verbal communication skills
- Strong problem solving and analytical skills
- Fintech systems experience
- 3-5 years advanced working SQL knowledge and experience working with relational databases, data governance/data modeling, query authoring (SQL) as well as working familiarity with a variety of databases
- 1-3 years' experience working with Microsoft SQL Server or Microsoft Azure
- 1-3 years' experience working with ETL or ELT in a data warehouse, data lake, or data mart environment
- 1-3 years' experience data modeling (logical/physical, relational)
- Strong analytic skills related to working with structured and/or unstructured datasets