Job Opportunities API

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success. ABOUT THE ROLE AND OUR TEAM: The Knot Worldwide’s Data team is looking for a highly motivated, highly energetic team-player with a strong analytical mindset to join as a  Senior Data Engineer supporting end-to-end data pipelines for our business. A top priority for the company this year is to establish a robust data foundation to power trusted analytics, intelligent ML/AI systems, and scalable business growth. This role will be partnering closely with our stakeholders and also with other Data teams to develop data models and data-driven solutions that enable deep analysis and self-service analytics for our Business Domains (Product, Marketing and Revenue). We see a Senior Data Engineer as a hybrid role that combines mostly data engineering skills but also having the ability to pivot through business intelligence or reporting models. You will be responsible for building (leading) end-to-end data pipelines using tools like dbt, airbyte, airflow and other modern data stack. This role requires proficiency in SQL, python, data transformation, data modeling, but also collaboration skills and business acumen as they play a crucial role in enabling data-driven decision-making within our organization. RESPONSIBILITIES:  Design, build, and maintenance of end-to-end scalable data pipelines to collect, process, and analyze large and complex datasets from various sources , including but not only, website visitors behavioral tracking, customer data, transactional data and other business data using tools like Airbyte, Python and dbt to write mainly SQL-based data transformations and ensure the data is clean and ready for analysis Apply dimensional modeling techniques to design tables and views that map business processes into an enterprise data model. Develop and support complex ETL infrastructure to ensure the delivery of clean and reliable data to the organization Participate in overall architecture and strategy for the deployment of our end-to-end data pipelines. Partner with the rest of Data Platform Engineering Teams to provide business logics to design, develop and move data pipelines into production. Partner with Manager / Lead to define best practices, templates, scalable code for our tech stack development, mainly in dbt. Assist with performance and tuning of our existing models, pipelines and data-applications. Foster data governance practices , ensuring data privacy and security, and documenting data pipelines, transformations, and models, contributing to maintaining a data-driven culture within the organization Understand our business and processes including how our data pipelines and data apps support the business processes and apply this knowledge to best solve problems. Work and communicate with end users / stakeholders across the organization to understand their needs, providing insights, training them on use of the Information Mart models, data-applications or any actionable results in support of decisions. Clearly scope, track, execute, and communicate on projects in an Agile environment Mentor other Data Engineering team members, provide technical leadership and guidance in data engineering projects and initiatives. Oversee the top of funnel metrics for at least one Business Domain and