Synovus is looking to solve the problem of ensuring scalable, efficient, and optimized solutions by working closely with customers, management, business analysts, and team members to understand business requirements that drive the analysis and design of quality technical solutions.
Requirements
- Solid understanding of systems development life cycle (SDLC), software best practices and development methodologies
- Strong technologist with excellent data analysis and ETL skills
- Knowledge of Master Data Management (MDM) and Governance
- Understanding of multiple programming languages, systems, as well as data design and project management methodologies.
- Strong architecture, design, and development skills
- Understanding of building data warehouses for analytical and business intelligence solutions
- Familiarity with retrieval augmented generation (RAG) techniques.
Responsibilities
- Stay current with emerging AI technologies, frameworks, and best practices to continuously improve IT operations.
- Monitor, troubleshoot, and resolve incidents relating to production AI applications.
- Data Pipeline setup for AI systems.
- Develop and maintain enterprise level software.
- Rapidly prototype and deploy full stack applications.
- Designs, develops, maintains and improves data structures, queries, reporting solutions, extract-transform-load (ETL) processes and data warehousing strategies for all mission critical projects.
- Performs other related duties as required.
Other
- Bachelor's degree in computer science, information systems or a related field or an equivalent combination of education and experience.
- One year of related experience including data design and project management, using multiple programing languages, and using and managing metadata
- Each team member is expected to be aware of risk within their functional area.
- Leadership skills with an emphasis on teamwork
- Skill working with both business team members and technologists
