
Chief Data Architect
9 hours ago
Our organization is seeking a seasoned Data Engineer to fill a key position. The ideal candidate will possess a deep understanding of building scalable data pipelines using Snowflake and dbt.
- Design and implement ELT pipelines using dbt on Snowflake, adhering to industry-accepted best practices.
- Develop ingestion pipelines from various sources into Snowflake.
- Implement data modeling and transformation logic to support a layered architecture.
- Utilize orchestration tools to schedule and monitor data workflows.
- Apply dbt best practices: modular SQL development, testing, documentation, and version control.
- Optimize performance in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
- Contribute to the growth of an internal knowledge base of dbt macros, conventions, and testing frameworks.
The successful candidate will have a solid grasp of data engineering principles, including ELT patterns and data modeling. They will also be proficient in Git, CI/CD, and deployment workflows in a team environment.
Essential Skills and Qualifications:- 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
- Experience developing and deploying dbt models in a production setting.
- Expert-level SQL and a strong understanding of ELT principles.
- Data Engineering and ELT Development.
- Cloud Data Platform Expertise.
- Technical Toolset.
The successful candidate will be an integral member of our team, collaborating closely with data analysts, data scientists, and architects to deliver high-quality data solutions.
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