Snowflake Data Engineer (Snowflake Certification Required) - Onsite

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

Preferred (Good-to-Have) Skills

1. ETL/ELT Tool Exposure
• Exposure to one or more ETL/ELT tools such as:
• Fivetran
• Hevo Data
• Informatica
• Talend
• Azure Data Factory (ADF)
• AWS Glue
• Basic understanding of data ingestion and pipeline concepts.
2. Cloud & Data Warehousing Fundamentals
• Basic understanding of cloud platforms (AWS, Azure, or Google Cloud Platform).
• Familiarity with data warehousing concepts, dimensional modeling, and data pipelines.

Behavioral & Problem-Solving Skills

1. Analytical and Problem-Solving Ability
• Strong logical thinking and analytical mindset.
• Ability to break down problems and propose practical solutions.
• Comfortable working with data and troubleshooting issues.

1. Communication Skills
• Good verbal and written communication skills.
• Ability to explain technical concepts clearly and confidently.
• Should be able to participate effectively in client-facing or team discussions.
2. Learning Attitude
• Demonstrates eagerness to learn new technologies and adapt to changing project requirements.
• Shows initiative in completing certifications, hands-on labs, and self-learning activities.