Описание
The Knot Worldwide provides products, services, and content for celebration planning. Its general online wedding Vendor Marketplace connects couples with local wedding professionals, while its personalized wedding websites, planning tools, invitations, and registry services support couples throughout the planning process.
Задачи
Design, build, and maintain scalable end-to-end data pipelines for large and complex datasets
Build SQL-based data transformations using Airbyte, Python, and dbt
Apply dimensional modeling techniques to design tables and views for an enterprise data model
Develop and support complex ETL infrastructure that delivers clean and reliable data
Participate in the architecture and strategy for deploying end-to-end data pipelines
Partner with Data Platform Engineering teams to define business logic and move pipelines into production
Partner with Managers and Leads to define best practices, templates, and scalable dbt code
Assist with performance tuning of existing models, pipelines, and data applications
Foster data governance practices,
including data privacy, security, and documentation
Understand business processes and apply this knowledge to solve problems
Work with end users and stakeholders to understand needs, provide insights, and train them on Information Mart models, data applications, and actionable results
Scope, track, execute, and communicate projects in an Agile environment
Mentor Data Engineering team members and provide technical leadership and guidance
Oversee top-of-funnel metrics for at least one Business Domain and ensure consistency across models and reporting
Требования
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
3+ Years of experience in design, development, data management, administration, and support
Experience building data models, data pipelines, and data warehouses
Advanced SQL and dbt modeling proficiencyStrong Python skills
Solid understanding of modern data en
📌 data engineer for wedding planning (Madrid)
🏢 Enfint
📍 Madrid