dbt Data Engineer
At a glance
Mid-level Data Engineering role at bluecloud. Full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after dbt-based pipelines and data warehouses
- Create and release dbt models that automate data transformations and data quality checks
- Track pipeline and warehouse operation, then investigate and resolve problems
- Coordinate with data engineers, analysts and stakeholders so data stays reliable, secure and accessible
- Keep current with changes in dbt tools and practices
What you bring
- A bachelor's degree in computer science, data science or a related discipline
- At least three years working in data engineering, including two or more years using dbt
- Working knowledge of data engineering methods, plus SQL and data modeling languages
- Experience with cloud platforms, version control and CI/CD pipelines
- Background in data quality testing, with strong analytical and problem-solving skills
Who this fits
This mid-level role suits someone who can contribute independently and collaborate with engineers, analysts and stakeholders. Clear communication and documentation skills are also part of the stated expectations.
From the employer
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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