About this role
The team is seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.
Key Responsibilities:
- Design and implement data pipelines using Databricks and associated technologies.
- Collaborate with data scientists and analysts to ensure data quality and accessibility.
- Develop and maintain ETL processes to integrate data from various sources.
- Monitor and optimize performance of data workflows and pipelines.
- Ensure adherence to data governance and security standards.
Required Skills & Qualifications:
- Strong experience with Databricks, Spark, and data engineering principles.
- Proficiency in SQL and experience with data modeling.
- Familiarity with cloud platforms, particularly AWS or Azure.
- Experience with data integration tools and frameworks.
- Knowledge of machine learning and analytics concepts is a plus.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- Opportunity to work on cutting-edge technologies in a dynamic environment.
- Collaborative team culture with a focus on innovation.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.