Snowflake Data Engineer with DBT Expertise
3 weeks ago
Role Summary:
- We are seeking a talented Snowflake Data Engineer with expertise in DBT to join our dynamic data team.
- This role involves designing, building, and maintaining our data infrastructure using Snowflake for data warehousing and DBT for data transformation.
- Your work will enable the organization to derive actionable insights and make data-driven decisions.
Key Responsibilities:
- Design and develop data pipelines in Snowflake.
- Perform data transformations, mappings, and scheduling of ETL processes.
- Set up and manage dbt models to ensure data quality and consistency.
- Monitor and troubleshoot data jobs to ensure seamless operation.
- Collaborate with data analysts and engineers to optimize data workflows.
- Implement best practices for data storage, retrieval, and security.
Required Skills:
- Proficiency in Snowflake and strong SQL skills for data querying and transformation.
- Experience with dbt for managing data models.
- Familiarity with ETL/ELT processes and data pipeline orchestration.
- Ability to monitor, debug, and optimize data workflows.
- Excellent problem-solving skills and attention to detail.
- Expertise in AWS data engineering and cloud-based solutions.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer, with a strong focus on Snowflake and DBT.
- Proficiency in SQL and experience with data modeling concepts.
- Strong understanding of ETL processes and data transformation best practices.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.
Preferred Qualifications:
- Experience with version control systems (e.g., Git) for DBT projects.
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