
Chief Data Architect
1 week ago
Senior Data Engineer Position
We are seeking a skilled data professional to lead the design and implementation of scalable data pipelines using Snowflake and dbt.
The ideal candidate will work closely with clients to translate business needs into robust data solutions and contribute to the growth of junior engineers, enforcing standards and delivering high-quality data platforms.
Key Responsibilities:- Design and implement modular ELT pipelines using dbt on Snowflake, prioritizing scalability and performance.
- Create layered data models aligned with dbt best practices to ensure efficient data management.
- Lead the ingestion of structured and semi-structured data from various sources into Snowflake.
- Optimize Snowflake for cost-effectiveness: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
- Apply advanced dbt capabilities, including macros, packages, custom tests, sources, exposures, and documentation.
- Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are highly valued.
Experience:
- A minimum of 5 years of experience in data engineering roles, with at least 3 years of hands-on experience working with Snowflake and dbt in production environments.
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