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Senior Snowflake Data Engineer

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

3+ years working in Snowflake environment, 3+ years SAP BODS, 5+ years experience in data engineering and transformation.

Key responsabilities:

  • Design and implement efficient data transformation pipelines
  • Implement data model changes aligned with standards
  • Develop testing scenarios for high-quality data
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COMERIT SME https://www.comerit.com
51 - 200 Employees
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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


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


Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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