Data Engineer – Chief Data Office

Job Summary

The Fitch Group Chief Data Office (CDO) is seeking a Data Engineer to be part of a team supporting all business and support functions across Fitch for a wide range of cloud based big data solutions. This is a formative opportunity to influence and innovate as part of the new CDO function. In this role, the platform engineer will partner with the platform architect and various IT engineers and architects to design and engineer Fitch’s new cutting-edge cloud data platform.

Primary Responsibilities

• Implement the services defined in the blueprint ultimately developed by our solution architect
• Partner with our AWS and IT teams to design and deploy a cloud big data platform that is fit for purpose and in line with business goals and objectives
• Develop and support features for platforms such as AWS S3 and Redshift
• Contribute towards the definition and SDLC adoption of strategic enterprise platform architecture standards including partnering with Data Architecture on naming and modelling standards supporting data at rest (logical and physical models) and data in motion (messaging, API’s)
• Develop platform standards for how integrations are developed, and how features are developed within the ecosystem
• Provide design and technical support for application teams that are re-architecting legacy/batch data solutions into more modern, event-based technical solutions for on-prem and the public cloud (AWS)
• Provide support to enterprise application teams to define re-usable critical cloud technologies

Qualifications

• 10+ years' experience as a cloud database engineer with a proven track record of delivery
• Expertise with AWS infrastructure such as S3, Redshift, Glue, and Athena required
• Hands-on experience as a database developer and/or administrator is a must – from initial logical design to physical deployment, for both new build and change management
• Working experience with python or ansible for the purposes of developing a software defined infrastructure
• Experience engineering and supporting enterprise-level big data platforms is required
• Self-starter with a willingness to step outside normal boundaries given the startup nature of this role
• Team-oriented, with proven ability to work well and collaborate globally across multiple and disparate teams
• Bachelor’s or Master’s degree in Systems Engineering, Computer Science or similar technical discipline