Description

You will design and implement Snowflake data warehouse artifacts, optimized data models, and CI/CD pipelines for data engineering tasks.

This role is on-site.

Responsibilities

• Design and implement Snowflake data models, including roles, databases, schemas, stored procedures, UDFs, Snowpipe, shares, and streams.
• Develop and manage integrations with third-party ETL tools (C2C and OP2C) and maintain data pipelines.
• Manage GitHub and Azure DevOps (ADO) pipelines, applying CI/CD concepts for code maintenance and deployment.
• Perform SQL performance measurement, query tuning, and root cause analysis for data models.
• Collaborate with system architects to gather requirements and drive iterative feedback.

Required Skills

• 5+ years of hands-on experience with Snowflake data warehousing platform, architecture, processing, and administration.
• Strong proficiency in SQL, including advanced query tuning and database performance optimization.
• Experience with Azure cloud platforms and Azure Data Factory (ADF).
• Hands-on experience with Python for data engineering tasks.
• Proficiency in managing CI/CD pipelines using GitHub and Azure DevOps (ADO).
• Familiarity with Enterprise-level data warehousing models and concepts.
• Experience integrating Snowflake with third-party ETL tools.

Key Skills

Education

Any Graduate