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Job Description:

Job Summary:
The Data Engineer – Python role is responsible for the design of data engineering projects, pipeline & proof of concepts. This data engineer role works directly with business users, actuaries, data scientists, and analytic engineers on needs and tactical solutions. The role will execute new ETL work for data science and analytics from inception and prototyping to fully developed solutions.

Roles & Responsibilities:
Uses best practices, with coaching, to develop the data engineering pipelines required to support needs of predictive modeling and analytics. Support the environment; implement monitoring, quality and validation processes to ensure data accuracy.
Work closely with data scientist and business partners to take defined needs and bring them from ideation to working pilots and deliverables.
Communicates findings to the team and leadership and ensures solutions are well understood and incorporated into business processes
Execute data exploration, data engineering, testing and implementation.
Development of prototypes for business or research solutions and ensures prototypes meet the organization standards, so that business users may visually understand and explore a new feature or functionality, before implementation, to expose design assumptions and drive ideation.

Qualifications:
Bachelor’s degree or equivalent experience
2 or more years of related experience
Development experience in data projects and knowledge with ability to learn new database technologies
Proficient engineering, data sourcing, and data management skills
Proficient programming skills in Python and SQL with ability to learn new technologies
Familiarity with Unix
Strong attention to detail
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels