Data Engineer
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Job description
A US-based company that is reinventing the insurance sector by improving value for consumers is looking for a Data Engineer. The selected candidate will be responsible for understanding the business challenges and opportunities related to service-related improvements. The company is building a comprehensive platform by partnering with the best insurance providers so that customers can trust and rely on their insurance coverage. The company has managed to raise more than $4.8mn in funding so far.
Job Responsibilities:
- Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and re-designing infrastructure for greater scalability
- Assist the engineering team to thoroughly maintain the data infrastructure and reporting
- Work with the leadership to implement advanced analytical and machine learning toolkits throughout the product development life cycle
- Assemble large, complex data sets to meet new product requirements regularly
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 3+ years of relevant experience as a data engineer
- Working SQL knowledge and experience with relational databases and query authoring
- Prior experience building and optimizing automated data reporting, data pipelines, architectures, and datasets
- Demonstrable experience working in a startup and the ability to thrive in a fast-paced environment
- Experience with AWS cloud services such as EC2, Redshift
- Nice to have experience with scripting languages (e.g., Python)
- Familiarity with production deployment of machine learning algorithms
- Hands-on experience with data visualization tools (e.g., Tableau) is preferred
- Excellent English communication and teamwork skills
- Great attention to detail
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