Data Engineer
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Job Description
Data Engineer leading design and scalability of Snowflake data platform at Magna Legal Services. Enforcing best practices and enabling analytics through a secure data foundation.
Responsibilities:
- Design, own, and maintain core enterprise data models.
- Provide architectural leadership by defining and enforcing data engineering standards and best practices.
- Implement and manage Snowflake security and RBAC, ensuring secure, scalable access across analytics and AI use cases.
- Build and maintain reusable dbt macros, seeds, and utility functions.
- Leverage advanced dbt features including incremental models, snapshots, and exposures.
- Optimize and refactor complex SQL for performance, reliability, and maintainability.
- Implement and maintain CI/CD workflows (Git branching, automated testing, code reviews).
- Monitor Snowflake warehouse and query performance.
- Drive Snowflake cost optimization initiatives (warehouse sizing, caching, workload management).
- Mentor and support junior data engineering resources.
- Partner with leadership to co-own Snowflake COE and data governance practices.
Requirements:
- 5+ years of experience in data engineering or analytics engineering.
- Deep hands-on experience with Snowflake, including performance tuning and RBAC.
- Strong production experience with dbt.
- Advanced SQL skills with a focus on optimization.
- Experience implementing CI/CD pipelines for data teams.
- Ability to design scalable, reusable data architectures.
- Strong communication skills and comfort working cross-functionally.
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