Key Responsibilities :
- Lead the delivery of business use cases within the Analytics group for high quality analytics applications containing advanced analytics components including GenAI & AI.
- Designing and managing the development of modular, reusable, elegantly designed and maintainable software that supports the Quailty organisation within our Analytics domain as well as strategic initiatives.
- Being hands on, solution driven and customer focused. Supporting the development and maintaining of the code repositories for which you are responsible and respond rapidly to bug reports or security vulnerability issues.
- Embody and integrate software development best practices into your everyday work and inspire others within the engineering community to emulate these practices.
- Collaborate extensively with your colleagues across Security, Compliance, Engineering, Product Management, Product Service Management and Business Management.
Key Requirements :
Bachelors Degree in a relevant discipline or equivalent experience in a relevant field10+ years of prior programming experience in a professional environment, building applications across platforms.Deep expertise in customer facing IT roles, with a demonstrated ability to deliver enterprise level applications.Expert in AWS services and query languages such as Spark, Python, SQL, Snowflake etc.Strong capability to collect and interpret requirements, building supporting schemas to clarify requirements.Solid data engineering fundamentals in data management, data analysis, backend system design.Fluent in Agile, Disciplined Agile as well as Waterfall delivery concepts.Fluency in English (oral & written)Desirable :
Preferred experience with Data & Analytics solutions.Proficiency in using tool such as Jira, Confluence and Bitbucket.Familiarity with : ADOIT, ERWIN and Data modelling.Skills Required
snowflake , Compliance, Python, System Design, Agile, Sql