✨ About The Role
- The role involves leading the distribution intelligence technology team to enhance overall experience and deliverables.
- The candidate will design and deliver solutions for wealth management and institutional asset management business initiatives.
- Responsibilities include designing and developing efficient data ingestion processes, data models, and data pipelines using Snowflake.
- The individual will collaborate extensively with clients to understand their data requirements and translate them into technical solutions.
- The job requires implementing end-to-end ETL/ELT workflows to extract, transform, and load data into Snowflake.
- Monitoring and troubleshooting data integration processes to ensure data accuracy and integrity is a key responsibility.
- Staying updated on industry trends and best practices related to Snowflake and data engineering is essential for this position.
âš¡ Requirements
- The ideal candidate should have a minimum of 10 years of experience in building and managing data-related solutions, preferably in the financial industry.
- A strong background in computer science concepts is essential for success in this role.
- The candidate must possess excellent oral and written communication skills, along with strong problem-solving abilities.
- Experience with core data engineering technologies such as databases, BI, ETL, and AI tools is crucial.
- The individual should be comfortable working in a fast-paced environment and have a high standard for quality output.