dbt Data Engineer at Blue.Cloud | Jobyssey

Join BlueCloud: a global leader in cloud solutions with an exceptional focus on innovation, customer service, and employee engagement.

BlueCloud is a digital transformation company that specializes solely in implementing leading cloud technologies and solutions for our clients which include Fortune 500 and Fortune 200 level companies as well as start-ups. As a cloud-only and cloud-forward transformation company, we help organizations to enable and speed their journey to the cloud.

With a balanced view of strategy, people, process, and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies and technology solutions.

Job Title: dbt Data Engineer

Summary:
We are looking for a talented and experienced dbt Data Engineer to join our team. The ideal candidate will have a strong understanding of data engineering principles and practices, as well as experience with dbt. The role will involve designing, developing, and maintaining data pipelines and data warehouses using dbt. The candidate will also be responsible for working with other data engineers, analysts, and stakeholders to ensure that data is reliable, secure, and accessible.

Responsibilities:

Design, develop, and maintain data pipelines and data warehouses using dbt
Work with other data engineers, analysts, and stakeholders to ensure that data is reliable, secure, and accessible
Develop and deploy dbt models to automate data transformation and quality checks
Monitor and troubleshoot data pipelines and data warehouses
Stay up-to-date on the latest dbt trends and technologies

Required Experience:

Bachelor’s degree in computer science, data science, or a related field
3+ years of experience in data engineering
2+ years of experience with dbt
Strong understanding of data engineering principles and practices
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform
Experience with SQL and other data modeling languages
Experience with version control systems, such as Git
Experience with continuous integration and continuous delivery (CI/CD) pipelines
Experience with data quality assurance and testing
Strong analytical and problem-solving skills
Ability to work independently and as part of a team
Excellent communication and documentation skills

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