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Snowflake Data Engineer

COMERIT

Role overview

Qualifications

  • Minimum 3 years of experience as a Data Engineer or similar role with hands-on Snowflake experience
  • Strong SQL skills and experience with Snowflake utilities like SnowSQL, SnowPipe, and SnowPark
  • Familiarity with data modeling concepts and ETL processes (Data Vault 2.0, Kimball Data Marts)
  • Snowflake SnowPro certification

Responsibilities

  • Design, build, and maintain scalable data pipelines on Snowflake and related data integration tools
  • Collaborate with data architects, analysts, and stakeholders to deliver end-to-end data solutions
  • Optimize Snowflake data processes using best practices (clustering keys, materialized views, caching)
  • Ensure data quality, accuracy, and security by implementing validation, monitoring, and access controls

Key facts

Hard skills

Other skills

  • Troubleshooting (Problem Solving)
  • Problem Solving
  • Detail Oriented
  • Communication
  • Collaboration
  • Mentorship
  • Teamwork

About the company

COMERIT logo

COMERIT

  • IT Services & Consulting
  • SME
  • 51–200
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. 🤝
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Job description

This is a remote position.

The Snowflake Data Engineer will be a member of the data engineering team for creating a data vault and data warehouse on Snowflake. This role will focus on building and maintaining scalable, efficient, and reliable data pipelines using the Snowflake Data Cloud. The ideal candidate will have extensive knowledge of Snowflake's architecture, features, and best practices.


Responsibilities:

1. Design, build, and maintain efficient, scalable, and reliable data pipelines using Snowflake and other relevant data integration tools.

2. Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver end-to-end solutions.

3. Optimize and performance-tune Snowflake data processes using best practices such as clustering keys, materialized views, and caching.

4. Ensure data quality, accuracy, and security by implementing proper validation, monitoring, and access controls.

5. Monitor data processing operations to ensure timely and successful completion, and proactively troubleshoot any issues.

6. Stay updated with the latest Snowflake features, upgrades, and best practices to continually improve data processes.

7. Translate complex functional and technical requirements into detailed designs.

8. Contribute to the team's knowledge by providing guidance, conducting code reviews, and sharing expertise.



Requirements

•    Minimum of [specific number, e.g., "3"] years of experience as a Data Engineer or similar role with hands-on experience with Snowflake.
•    Strong SQL skills and experience with Snowflake utilities like SnowSQL, SnowPipe, and SnowPark.
•    Familiarity with data modeling concepts and ETL processes.
      o    Data Vault 2.0
      o    Kimball Data Marts
•    Snowflake SnowPro certification
•    Familiarity with scripting languages like Python.
•    Strong problem-solving skills and attention to detail.
•    Excellent communication and collaboration skills
•    Experience with AWS cloud platforms
•    Experience with Agile methodology

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