Match score not available

Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Senior Snowflake Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Work from: 
United States

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.

COMERIT logo
COMERIT SME https://www.comerit.com
51 - 200 Employees
See all jobs

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

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data EngineeringSnowflake (Data Warehouse)SQL (Programming Language)Data TransformationAgile Software DevelopmentData VaultsSAP COSAP EWMSAP AdministrationPython (Programming Language)

Other Skills

  • Problem Solving
Are you interested?

Data Engineer Related jobs

See more Data Engineer jobs