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Data Engineer
2 months ago
Join our dynamic and growing team at Arch, where you will have the opportunity to implement innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products.
OverviewHave you ever wondered how insurance companies calculate the price of insurance policies? As a Data Engineer on our Corporate Actuarial Data & Technology team, you will play a key role in implementing complex databases and data pipelines that put analytics at the heart of real-time decision-making.
Responsibilities- Work with strategic partners to develop best-in-class data solutions that drive business strategies
- Perform data manipulation using SQL and Python to develop data assets
- Leverage technology to automate data ingestion, transformation, and integration
- Provide documentation of sources and technical solutions
- Evaluate data quality and completeness
- Build strong partnerships with peers across the organization to support data-related goals
- Explore new technologies and data sources with curiosity and creativity
- Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
- Create and maintain optimal data pipeline architecture
- 1-2+ years of data/software engineering experience working with SQL, Python, and relational databases
- Understanding and experience with dimensional data modeling (star schema)
- Familiarity with the MLOps framework
- Strong data manipulation skills for analytics
- Excellent critical thinking skills to tackle complex data challenges
- Strong organizational skills and attention to detail
- Exceptional collaboration and relationship building skills
- Comfortable working in a fast-paced, highly collaborative environment
- Ability to effectively communicate to different target audiences
- Resilient problem-solving and critical thinking skills
- Flexibility - able to meet changing requirements and priorities
- Proficiency Level: Required (R) / Optional (O)
- SQL: 3 (R)
- Python: 3 (R)
- Git: 2 (R)
- Microsoft Excel: 2 (R)
- Data Modeling (Dimensional modeling): 2 (O)
- Cloud Experience (Azure preferred, AWS/GCP acceptable): 2 (O)
- Snowflake: 2 (O)
- Databricks: 2 (O)
- Data warehouse architecture: 2 (O)
- Microsoft Office Products (MS Teams, Outlook, Word, PowerPoint, etc.): 2 (O)
- BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent
