Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 3+ years applied experience
- 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
Preferred qualifications, capabilities, and skills
- Data Engineering experience using products such as Databricks, snowflake, spark, and/or other could based databases
- Data Engineering using cloud based LLM tools a plus
- Extensive Business Intelligence experience a plus