Job Description
Our client is a leader within the SaaS solutions loyalty and rewards space focused on increasing redemption and consumer loyalty looking for a Data Engineer to join their team.
Experience we need
- Familiarity with graph database technologies such as TigerGraph, Neo4j, Amazon Neptune.
- Knowledge of Snowflake data warehousing platform.
- Basic understanding of data modeling, query optimization, and performance tuning concepts in graph databases.
- Knowledge of data integration techniques and tools for graph databases.
- Proficiency in programming languages such as Python, Java, or Scala.
Role requirements
- Implement data integration strategies between graph databases and Snowflake.
- Assist in maintaining and optimizing graph database schemas tailored for member profile management.
- Collaborate with senior data engineers, data scientists, and analysts to optimize query performance.
- Design and implement backend APIs for data access and manipulation within the graph database.
Morgan McKinley encourages applications from all qualified candidates who represent the full diversity of communities in Canada. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Alternative format available upon request.
