Snowflake Data Engineer

Role & responsibilities

Must-Have

1. 6+ years of experience in Data Engineering, with at least 23 years in Snowflake.

2. Strong expertise in SQL and Snowflake-specific features.

3. Strong Proficiency in Python

4. Hands-on experience with cloud platforms (AWS, Azure, or GCP).

5. Familiarity with CI/CD, DevOps, and Infrastructure-as-Code practices.

6. Strong problem-solving, performance tuning, and debugging skills.

Good-to-Have

7. Experience with data visualization tools like Tableau or Power BI.

8. Knowledge of ETL/ELT tools and practices.

9. Exposure to CI/CD pipelines and version control systems (e.g., Git).

10. Ability to work in agile development environments.