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Senior Snowflake Data Engineer

COMERIT

Role overview

Qualifications

  • 3+ years working in the Snowflake environment
  • 3+ years SAP BODS
  • 3+ years SAP Landscape Transformation Replication Server (SLT)
  • Strong SQL knowledge

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

About the company

COMERIT logo

COMERIT

Digital Transformation Consulting

Comerit: Your Data Transformation Partner 🌐At Comerit, data isn't just information – it's potential waiting to be unleashed. As a prominent data transformation and advanced analytics consulting firm headquartered in Folsom, California, we thrive on converting data into actionable insights that drive informed decisions. With a legacy of 25 years of SAP expertise, we understand the intricacies of data and its pivotal role in business success. Our mission is to empower enterprises by providing continuous data insights for superior outcomes.Our comprehensive range of services is designed to cater to your diverse needs:Intelligent Analytics: Transform data into wisdom. Our Intelligent Analytics service empowers you with deeper insights, facilitating informed decisions that steer your business towards excellence.Data Enablement: Your data holds immense potential. We specialize in harnessing this potential, enabling your business to grow, adapt, and prosper.SAP Enterprise Transformation: Unlock SAP's true potential with us. Our SAP S/4HANA Cloud innovation propels your business forward, optimizing operations and enhancing efficiency.Innovative Cloud Technologies: Stay ahead of the curve with our pioneering cloud solutions. Our cutting-edge cloud data warehousing solutions ensure scalability and competitive advantage.With Comerit, you gain more than just a service provider – you gain a partner dedicated to your success. Our cross-discipline teams ensure breakthroughs through data-driven strategies and advanced technology solutions. We integrate your corporate goals with best-in-class capabilities, driving business and technology advancement hand in hand.Empower your business with Comerit. Unlock the true value of your data, leverage 24/7 support, and transform your vision into reality. From insights to action, we're here to make your data work for you. Explore the possibilities – let's connect. 🤝

Company details

Company typeSME
IndustryDigital Transformation Consulting
Company size51 - 200

Links

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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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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