23 Feb
Data Engineer
Vacancy expired!
- Demonstrate up-to-date expertise in data engineering practices and provides solutions for the identification, acquisition, cleansing, profiling, and ETL (extracting, transformation, and loading) of data used in data science discovery and deployment solutions
- Provide data pipeline solutions for the development, implementation, execution, validation, monitoring, and improvement of data science solutions
- Develop intelligent data management and pipelines solutions for reusability
- Establish business domain knowledge for existing State Farm data sources and investigates, recommends, and initiates acquisition of new data resources from internal and external open and vendor data sources for model building, training, and deployment
- Conform with State Farm strategic analytic data related policies, environments, and direction
- Understand the basics of machine learning models in order to optimize data science solutions
- Identify critical and emerging technologies, techniques, tools, data sources, and platforms in the data engineering field, including cloud-based solutions, that will support and extend quantitative analytic deployment solutions
- Develop and maintain an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities
- Experience and strong knowledge in the Property & Casualty (P&C) data concepts, usage and design, ability to work collaboratively and adapt to change quickly.
- Expertise in data engineering practices including the identification, acquisition, cleansing, profiling, and ETL (extracting, transformation, and loading) of data used in data science discovery and deployment solutions
- Expertise in providing pipeline solutions for the development, implementation, execution, validation, monitoring, and improvement of data science solutions
- Expertise in providing reusable data pipeline solutions
- Understanding of the basics of machine learning models in order to optimize data science solutions
- An understanding of critical and emerging technologies, techniques, tools, data sources, and platforms in the data engineering field, including cloud-based solutions, that will support and extend quantitative analytic deployment solutions
- An ability to develop and maintain an effective network of both scientific and business contacts and knowledge to obtain relevant information and intelligence around the market and emergent opportunities
- Technical/Functional Expertise
- Critical Thinking
- Teamwork
- Adaptability
- Competitive Benefits, Pay and Bonus Potential: Who doesn't want money, right?
- Volunteer opportunities: Get involved and give back to the community!
- Continuing Education Support: We support opportunities for you to learn and grow!
- A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
- We embrace Diversity and Inclusion: We are one team and it is simply the right thing to do!
Vacancy expired!