Snowflake Data Engineer

Role Overview

Design and create data models, data integration solutions, and optimal data pipeline architecture using Snowflake and Python. Support business development efforts and thrive in a fast-paced, client-facing role.

What You Will Do

Design data models, create data integration solutions, and maintain optimal data pipeline architecture. Develop ETL processes and ensure data quality during integration.

Why It Might Be a Fit

Good knowledge of Snowflake, Python, and cloud platforms is required. Experience with data ingestion methods, time travel, and data sharing is an advantage. Excellent leadership, interpersonal, and communication skills are essential.

Requirements

• 5+ years of experience in Snowflake and Python
• 4+ years of experience in data preparation
• Good knowledge of cloud platforms like AWS/Azure/GCP
• Good hands-on knowledge of Snowflake
• Good knowledge of Python/Py Spark
• Experience with various data ingestion methods
• Time travel and data sharing capabilities
• Knowledge of EBS Modules like Finance, HCM, Procurement
• Excellent leadership and interpersonal skills
• Strong prioritization and multi-tasking skills
• Ability to be creative and analytical in problem-solving
• Effective verbal and written communication skills
• Adaptable to new environments, people, technologies, and processes
• Ability to manage ambiguity and solve undefined problems