Snowflake Data Engineer

About the Project

The project focuses on the assessment and transformation of a modern cloud-based data platform.

The initiative is divided into two phases. The first phase involves evaluating the existing Azure and Snowflake environment, including architecture, cybersecurity, data protection, data models, and operational processes, followed by recommendations for improvements.

The second phase focuses on implementing the target solution and building a scalable, secure Snowflake data platform.

Your Role

As a Snowflake Data Engineer, you will be responsible for designing, developing, and maintaining Snowflake-based data solutions. You will build reliable data pipelines, create scalable data models, and support the delivery of cloud-based data capabilities that enable analytics and business decision-making.

You will collaborate closely with data architects, analysts, and business stakeholders to transform requirements into efficient technical solutions.

Key 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.

Required Skills & Experience

• Hands-on experience with Snowflake.

• Strong SQL skills and experience with data processing.

• Experience developing ETL/ELT pipelines.

• Knowledge of data modelling concepts and best practices.

• Experience working with Azure Data Services.

• Experience delivering cloud-based data solutions.

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.

Experience Required

• 3+ years of experience in Data Engineering.

• 1.5+ years of hands-on experience with Snowflake.

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