Snowflake Data Engineer

Mandatory Requirements

1. Snowflake Certification
• Must possess at least one valid Snowflake certification (e.g., SnowPro Core or equivalent).
• Candidate should be able to demonstrate understanding of Snowflake architecture, virtual warehouses, databases, schemas, stages, and data loading concepts.
2. SQL Proficiency
• Strong understanding of SQL fundamentals.
• Hands-on experience writing complex queries involving joins, subqueries, CTEs, window functions, aggregations, and performance optimization.
• Ability to solve practical SQL-based scenarios during interviews.
3. Python / PySpark Skills
• Good working knowledge of Python programming.
• Familiarity with data processing using PySpark.
• Understanding of data structures, functions, error handling, and basic object-oriented programming concepts.
4. Project Experience
• Must have completed at least 1 2 academic, internship, personal, or training projects related to data engineering, analytics, or cloud data platforms.
• Should be able to clearly explain:
• Business use case
• Architecture/design
• Technologies used
• Individual contribution

• Challenges faced and solutions implemented