You will understand requirements, advise clients on best practices and Snowflake Data Engineering features, and develop data pipelines using modern Data Stack tools
Job Summary
You will understand requirements, advise clients on best practices and Snowflake Data Engineering features, and develop data pipelines using modern Data Stack tools.
You will analyze and present data using the Snowflake AI Suite, collaborate closely with various teams, and build structured and reliable data processes.
You will contribute to presales activities, develop technical solution concepts, and conduct workshops based on your experience.
Matching Summary
You will understand requirements, advise clients on best practices and Snowflake Data Engineering features, and develop data pipelines using modern Data Stack tools.
Skills & Requirements
Must-have
Snowflake Data Engineering
Data Pipeline Development
ETL/ELT Methodologies
Cloud Data Platforms
SQL and Python proficiency
Data Governance implementation
Nice-to-have
Consulting experience
AI tool application
Customer advisory skills
Knowledge sharing and training
Key Requirements
Experience in Data Platform projects with Snowflake
Knowledge of DWH/Data Lake/Datalakehouse/Data Mesh concepts