Blue Cloud
2 - 10 employees
Founded 2015
💼 Consulting
🤝 B2B
🏢 Enterprise
Consulting • B2B • Enterprise
Blue Cloud is an IT services and consulting company with more than 25 years of software experience. It sells, implements and operates enterprise application software in partnership with regional consulting firms, providing analytics, cloud computing, CRM, talent management, process & technology and academic management solutions. Blue Cloud focuses on rapid, simple and secure deployment and ongoing operation of business software for organizational customers.
DBT Data Engineer
Job not on LinkedIn
🕒 July 27
Where this job comes from
Posted on Blue Cloud's careers page, not through a job board
First seen by Remote Rocketship July 27
Still open on Blue Cloud's site. Checked 12 minutes ago.
Blue Cloud
2 - 10 employees
Founded 2015
💼 Consulting
🤝 B2B
🏢 Enterprise
Consulting • B2B • Enterprise
Blue Cloud is an IT services and consulting company with more than 25 years of software experience. It sells, implements and operates enterprise application software in partnership with regional consulting firms, providing analytics, cloud computing, CRM, talent management, process & technology and academic management solutions. Blue Cloud focuses on rapid, simple and secure deployment and ongoing operation of business software for organizational customers.
📋 Description
• 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
🎯 Requirements
• 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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🇺🇸 United States – Remote
💰 Non equity assistance on 2018-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
