Senior Snowflake Data Engineer

Comerit; United States; A distancia; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Comerit is seeking a Senior Snowflake Data Engineer to lead the development of a data vault and data warehouse on Snowflake. You will work with the solution architect and data scrum lead to implement stable data pipelines that provide operations and management with timely insights, adopting an automation-first philosophy.

You will design and implement automated data transformation pipelines, integrate SAP sources into data marts, apply Data Vault 2.0 and Kimball models, and develop tests to

Formación

• 3+ years working in Snowflake environment.
• 5+ years data engineering and transformation.
• Strong SQL and Python skills.
• Experience with SAP data tools (BODS, SLT).

Responsabilidades

• Lead development of automated data transformation pipelines to drive decisions and business impact.
• Design and implement pipelines to integrate SAP and other sources into data marts.
• Implement data model changes aligning with Data Vault 2.0 and mart standards.
• Design and implement backfill or warehouse data management processes.
• Develop and execute testing scenarios to ensure data quality.

Conocimientos

Snowflake

Python

SQL

Data Vault 2.0

Kimball models

Automation

Agile

SAP BODS

SLT

Herramientas

SAP BODS

SLT

Snowflake

Descripción del empleo

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