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Data Engineer
Job Description
Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
•Perform data manipulation and transformation using SQL and Python
•Identify, design, and implement internal process improvements: automating manual
processes and optimizing data pipelines •Discover and explore new sources of data with curiosity and creativity •Create and maintain optimal data pipeline architecture •Author detailed and comprehensible documentation of data pipelines and technical
solutions •Ensure data quality and completeness
processes and optimizing data pipelines •Discover and explore new sources of data with curiosity and creativity •Create and maintain optimal data pipeline architecture •Author detailed and comprehensible documentation of data pipelines and technical
solutions •Ensure data quality and completeness
Qualification
Advanced working SQL knowledge and experience working with relational databases, query authoring
A successful history of manipulating, processing and extracting value from large, disconnected datasets
Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL and/or Python
Good organizational skills and attention to detail
Excellent critical thinking skills to flag complex data challenges
Experience with cloud technologies and Python is a plus
Comfortable working in fast paced, highly collaborative environment
Ability to effectively communicate to different target audiences
About The Specialty Insurance Company
The company is a global leader in providing specialty insurance, reinsurance, and mortgage insurance solutions.
Data Engineer
Salary
80,000-130,000/month
Position Level
Staff
Job Level
Experienced Hire
Job Type
Hiring Until
01/21/2025
