AI Summary
Seeking a Snowflake Engineer to design and implement data models using DBT. Responsibilities include query optimization, performance tuning, and ensuring data governance. Requires strong SQL, data modeling, Snowflake, and dbt expertise.
Key Highlights
Design and implement data models in Snowflake using DBT
Optimize queries and manage performance tuning in Snowflake
Ensure data governance, lineage, and documentation using DBT features
Key Responsibilities
Design and implement data models in Snowflake using DBT
Build modular, reusable, and well-documented DBT models
Optimize queries and manage performance tuning in Snowflake
Ensure data governance, lineage, and documentation using DBT features
Monitor and troubleshoot ETL/ELT workflows
Stay updated with Snowflake features (e.g., Snowpipe, Streams, Tasks) and dbt ecosystem enhancements
Technical Skills Required
Benefits & Perks
100% Remote
Job Description
Snowflake Engineer
Location – 100% Remote
Role Type: Full-time/Permanent
Key Responsibilities:
- Design and implement data models in Snowflake using DBT
- Build modular, reusable, and well-documented DBT models.
- Optimize queries and manage performance tuning in Snowflake.
- Ensure data governance, lineage, and documentation using DBT features.
- Monitor and troubleshoot ETL/ELT workflows.
- Stay updated with Snowflake features (e.g., Snowpipe, Streams, Tasks) and dbt ecosystem enhancements.
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Required Skills
- Strong proficiency in SQL and data modeling concepts (star schema, snowflake schema, normalization/denormalization).
- Hands-on experience with Snowflake (warehousing, performance tuning, security, roles).
- Expertise in dbt (macros, Jinja, testing, documentation).
- Experience with Git, CI/CD, and modern data stack tools (Airflow, Fivetran, etc.).
- Strong problem-solving and communication skills.
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