Snowflake Data Engineer

Quick Facts

• Role: Snowflake Data Engineer

• Focus: Assessment and transformation of a cloud-based data platform; implementation of a scalable, secure Snowflake data platform

Description

You will design, develop, and maintain Snowflake-based data solutions. You will build reliable data pipelines, create scalable data models, and support cloud-based data capabilities that enable analytics and business decision-making. You will collaborate with data architects, analysts, and business stakeholders to transform requirements into efficient technical solutions.

Responsibilities

• Design and develop Snowflake data models supporting analytical and operational requirements

• Build and maintain scalable ETL/ELT data pipelines

• Develop data processing workflows and optimize performance of data workloads

• Configure and utilize Snowflake components based on platform requirements

• Support CI/CD processes and deployment automation for data solutions

• Ensure data solutions are reliable, maintainable, and aligned with engineering standards

• Collaborate with architects, analysts, and business teams to deliver high-quality data products

• Contribute to testing, documentation, monitoring, and operational support activities

Requirements

• 3+ years of experience in Data Engineering

• 1.5+ years of hands-on experience with Snowflake

• Strong SQL skills and experience with data processing

• Experience developing ETL/ELT pipelines

• Knowledge of data modeling concepts and best practices

• Experience working with Azure Data Services

• Proven experience delivering cloud-based data solutions and working with modern data platforms

Nice to Have

• Experience with Python for data engineering tasks

• Knowledge of dbt

• Experience with data quality frameworks and validation processes

• Familiarity with CI/CD practices in data engineering environments

Benefits

Not specified in the provided posting.