Job responsibilities
- Authors strategic data models for to further the Finance Technology data strategy initiatives - concentrating specifically in GFTP space.
- Delivers scalable data pipeline solutions that include: data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
- Implements solutions that follow current guidelines and guardrails outlined to cloud based data solutions.
- Educate business partners and provide options and solutions that promote self-service rather than having a constant technology dependency.
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3 + years development experience working Data Engineering
- Extensive ETL experience required this could be across various products
- Working experience with both relational and NoSQL databases
- Experience and proficiency across the data lifecycle
- Experience with database back-up, recovery, and archiving strategy
- Proficient knowledge of linear algebra, statistics, and geometrical algorithms
- Proficient data modeling skill required
- Data Engineering experience using products such as databricks, snowflake, spark, and/or other could based databases.
Preferred qualifications, capabilities, and skills
- Data Engineering using cloud based LLM tools a plus
- Extensive Business Intelligence experience a plus