
Senior Data Pipeline Developer
1 week ago
The ideal candidate for this position will have a strong background in designing and implementing scalable data pipelines using dbt on Snowflake.
- Data Modeling:
- Develop and maintain robust data models to support layered architecture (staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
- Implement data transformation logic to optimize data quality and ensure data integrity.
In addition to these key responsibilities, the ideal candidate will also possess:
Essential Skills and Qualifications- A minimum of 3-5 years of experience in data engineering roles, with a strong understanding of ELT principles and patterns.
- Expert-level SQL skills and experience working with database systems such as Snowflake.
- Proficiency in dbt and its application in production environments.
- Familiarity with Git, CI/CD, and deployment workflows in a team setting.
- Excellent problem-solving and analytical skills, with the ability to work independently and collaboratively.
This role offers the opportunity to work with a talented team of professionals who are passionate about data engineering and innovation.
The ideal candidate will have a passion for learning and staying up-to-date with industry trends and best practices.
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