Senior Snowflake Data Engineer

Reposted 19 Days Ago
Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
The Role
The Senior Snowflake Data Engineer will lead the creation of a data vault and warehouse on Snowflake, develop automated data pipelines, and work closely with architects to deliver insights for business operations.
Summary Generated by Built In

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


Skills Required

  • 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
  • Strong SQL knowledge
  • Solid understanding of Data Vault 2.0 methodology
  • Solid understanding of Kimball design methodology
  • Experience with Agile methodology
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The Company

What We Do

Comerit is a global management consulting firm specializing in data transformation, advanced analytics, SAP modernization, AI, and business intelligence solutions. They partner with Fortune 500 companies to maximize strategic data investments and turn complexity into competitive advantage.

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