Role: Data Engineer-Mid The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.
Responsibilities:
- Work with strategic partners to solve business problems by developing best-in-class data solutions
- Perform data manipulation using SQL and Python to develop data assets
- Leverage technology to automate data ingestion, transformation and integration
- Provide the appropriate level of 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
- Discover and explore new sources of data with curiosity and creativity
- Create and maintain optimal data pipeline architecture
Qualifications- The ideal candidate has 1-2+ years of experience to 3-4+ years of experience 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 very detail oriented
- 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
Additional Information- BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent
