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Job Location: Daytona Beach, FL
Brown & Brown Inc. is searching for Senior Data Engineer to join our growing team. The selected candidate will engage in complex business analysis, data extraction, data cleansing and data manipulation. They will participate in the architecture, design, coding, testing, debugging, and deployment of new and existing applications. They will solve customer automation challenges and respond to suggestions for improvements and enhancements. Candidate should be able to work well with co-located and distributed team members, including vendor resources.
We are building numerous leading-edge AI & ML solutions for all our business segments. A high number of these solutions are for deployment in our Healthcare, Risk Management, Loss Reporting & Financial teams. Their data is continuing to get more complex, and our design goal is to automate as much as possible of the business process.
Essential Duties And Responsibilities
- Demonstrate a high degree of creativity and problem-solving skill
- Must be adept at clustering & classification, data analysis & visualization to increase business efficiency
- Needs to have a comprehensive knowledge and experience in Data Normalization, Data Extraction, Data Cleansing, and Data Manipulation
- Proven experience in building successful algorithms & predictive models for different datasets and stakeholders
- Design, develop, test, debug, and deploy software applications using various data engineering tools and techniques, covering some of the following: Anaconda navigator, Visual studio, R Studio, MySQL, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, NLTK, Keras. Also having experience of the following will be an advantage – Azure DevOps, SQL Server, Azure Cloud, etc.
- Work with product owners, business analysts and application users to design robust user-friendly solutions, that have AI & ML at the heart of the solution
- Work as part of an Agile development team; participating in daily standups, code reviews, backlog refinement and other Scrum activities
- Follow secure coding guidelines
Skills And Competencies
- Excellent verbal and written communication skills
- Awareness and some hands-on experience applying design and architectural patterns
- Comfortable accepting criticism in the context of a Pull Request. Enjoy discussing code quality. Not afraid to offer critiques of other team members’ code.
- Enjoy learning new technologies and enhancing existing skills
- Experience integrating with SOAP and/or Restful Web Services (WCF, Web API)
- Hands-on experience using Git to perform basic source code control operations: pull/push, staging, commits, pull requests, cherry-picking, rebasing, etc.
Required Competencies
- Bachelor’s degree in Computer Science or, in-lieu of degree, equivalent education, training and work-related experience
- 5+ years of experience in all phases of software development including design, coding, testing, debugging, and source code management
- Preferred development languages are Python, R & C, with the highest emphasis on Python
- Must be adept at clustering & classification, data analysis & visualization to increase business efficiency
- Needs to have a comprehensive knowledge and experience in Data Normalization, Data Extraction, Data Cleansing, and Data Manipulation
- Building model, testing the performance of the model using unknown data, Hyper Parameter tuning
- Be experienced in building algorithms & predictive models for different vertical solutions and data types
Preferred Competencies
- Experience in the insurance industry and/ or basic knowledge of insurance or financial services.
- Experience with Azure DevOps: building and maintaining CI/CD Pipelines, blue/green deployments, creating NuGet packages, etc.
- Understanding of advanced data modeling concepts
- Experience with Azure SQL, App Services, API Management, PowerBI, Data Factory, Container technologies (Docker) or any other Microsoft Azure resources
Bonus/Commission: No
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