Description

Key Skills: Snowflake, DBT, Data Modelling

Roles and Responsibilities:

• Design, develop, and maintain data pipelines using Snowflake and DBT.
• Optimize SQL queries and stored procedures for performance.
• Implement data transformation and automation processes using Python.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Manage data integration patterns and orchestration tools such as Airflow and Azure Data Factory (ADF).
• Ensure best practices in data modeling and metadata standards are followed.
• Work with cloud platforms (AWS/Azure/GCP) to leverage Snowflake capabilities.
• Participate in CI/CD processes using tools like Git and Azure DevOps.

Skills Required:

• Expertise in Snowflake architecture and SQL optimization
• Proficiency in DBT for data transformation and pipeline development
• Python skills for ETL/ELT automation and scripting
• Knowledge of data modeling, metadata management, and best practices
• Experience with orchestration tools like Airflow and Azure Data Factory
• Familiarity with cloud platforms (AWS, Azure, GCP) for Snowflake deployment
• CI/CD implementation using Git, Azure DevOps, or similar tools
• Strong collaboration and communication skills for cross-functional projects

Education: Any Graduation or Post Graduation

Key Skills

Education

Any Graduate