
Lead Data Engineer
2 weeks ago
We are seeking a highly skilled and experienced Lead Data Engineer to join our team. This is an exciting opportunity for someone who thrives in a fast-paced, dynamic environment and is passionate about driving digital transformation.
About the RoleThis key position will be responsible for designing and implementing data architectures that support large-scale transformation programs or projects. The successful candidate will have a comprehensive understanding of data modeling techniques and methodologies, as well as expertise in various database technologies, data transformation tools, change data capture, and data streaming platforms.
They will also leverage cloud-based data architectures and platforms to promote data security patterns, authentication, and authorization methods.
This role requires a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, with a Master's degree preferred. A minimum of 10 years' experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains, is also required.
Key Responsibilities:- Data Architecture Design: Develop and implement data architectures that meet business requirements and drive digital transformation.
- Data Modeling Expertise: Apply comprehensive knowledge of data modeling techniques and methodologies to design efficient and scalable data systems.
- Database Technology Expertise: Harness expertise across various database technologies, data transformation tools, change data capture, and data streaming platforms to ensure seamless data integration and processing.
- Cloud-Based Data Architectures: Leverage cloud-based data architectures and platforms to promote data security patterns, authentication, and authorization methods.
- Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; Master's degree preferred.
- Experience: Minimum of 10 years' experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains.
- Skills and Qualifications: Comprehensive knowledge of data modeling techniques and methodologies, expertise in various database technologies, data transformation tools, change data capture, and data streaming platforms.
- Digital Transformation: Be at the forefront of digital transformation in the insurance industry.
- Impactful Initiatives: Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.
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