Offer summary

Qualifications:

3+ years of experience in the Snowflake environment, Strong SQL knowledge and experience with data transformation automation tools, Solid understanding of Data Vault 2.0 and Kimball design methodologies, Experience with Agile methodology and Python data engineering preferred..

Key responsabilities:

Lead the development of automated data transformation pipelines for business insights

Design and implement data transformation pipelines integrating data from SAP and other sources

Implement data model changes in accordance with data vault and mart standards

Develop and execute testing scenarios to ensure high-quality data.

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Job description

This is a remote position.

The senior snowflake data engineer will be the lead engineer for the creation of a data vault and data warehouse on Snowflake. The candidate will work closely with the solution architect and data scrum lead to implement stable data pipelines that will provide the business with insights into operations and management. The data engineer will embrace an automate first philosophy to data engineering.

Responsibilities:

Be a technical lead in the development of automated data transformation pipelines to drive decisions and have a tangible beneficial impact on business results
Design and implement efficient data transformation pipelines to integrate data from SAP and other sources into data marts
Implement data model changes that align with data vault and mart standards
Design and implement backfill or other warehouse data management processes
Develop and execute testing scenarios to ensure high-quality data