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
Requirements
3+ years working in the Snowflake environment
3+ years SAP BODS
3+ years SAP Landscape Transformation Replication Server (SLT)
5+ years working with data transformation automation tools
5+ years of data engineering and transformation
3+ years of python data engineering preferred
Strong SQL knowledge
Solid understanding of Data Vault 2.0 methodology and data models
Solid understanding of Kimball design methodology and data models
Experience with Agile methodology
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.