Data Engineer (Technical Interviewer) in Boosty Labs

We’re looking for an experienced Data Engineer who could help us with interviewing potential candidates for the vacancy described below.This is a freelance position with an hourly-based remuneration. Our client is shaping the future of identity within the metaverse. This innovative approach allows users to own and control their data, transporting their reputation across various web3 experiences.Our client helps web3 projects understand their audience and facilitates the provision of valuable analytics and engagement tools to attract and retain users.Stack: ETL tools, Airflow, dbt, Python, SQLTeam on the project: PM, Frontend, 2 Blockchain Devs, Full-Stack, DesignerRequirements:• 3+ years of experience• Strong background in an analytics or business-focused role, with experience in designing data models from the ground up• Professional experience with ETL tools, specifically for building and maintaining data and stream processing pipelines• Hands-on experience with modern data stack technologies, including Airflow and dbt, for orchestrating and transforming data• Proficiency in SQL and Python for data manipulation and automation tasks• Ability to drive business impact through thoughtful data architecture and practices• Enthusiasm for cryptocurrency and web3 technology, with a keen interest in leveraging data for insights in this space• Good communication skills• Upper-Intermediate English levelResponsibilities:• Design, build, and optimize data pipelines, leveraging modern data stack tools such as Airflow and dbt for efficient data extraction, transformation, and loading (ETL) processes• Collaborate with analytics or business-focused teams to design data models from scratch, enabling impactful data architecture that drives business decisions• Manage and maintain our data pipeline architecture, aligning with our product's need for a scalable and reliable data solution• Implement distributed data processing frameworks to handle our diverse datasets with high throughput and low latency• Work closely with stakeholders to understand data requirements and ensure the data architecture supports our product and customer needs