What am I going to do?:
* Architect and design robust schemas for our new data product backend, ensuring scalability and performance.
* Drive full-stack feature development for production-ready features, contributing to both data pipelines and user-facing elements.
* Orchestrate and optimize data pipelines, guaranteeing reliable and timely data delivery.
* Provide technical leadership to enhance software engineering standards across the team, mentoring other developers.
* Integrate complex systems and manage schema design with a keen eye on cost optimization.
* Collaborate closely with cross-functional teams in daily stand-ups and development cycles.
Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.
* You are a true Quality Executioner at heart, obsessively focused on detail and delivering high-quality results with exceptional engineering craft, while also embodying the 'doer' and 'builder_craft' values.
* You possess deep expertise in data warehousing architecture and optimization, with a proven ability to design efficient and scalable data solutions.
* You are skilled in developing and orchestrating data pipelines, ensuring robust and reliable data flows.
* You bring strong full-stack software development capabilities, including proficiency in Python, SQL, Data Warehouses, Data Orchestration tools and CI/CD practices.
* You have a knack for schema design and cost management, balancing technical requirements with economic efficiency.
* You excel at complex system integration and have a proven track record of leading technical initiatives and mentoring other engineers. Nice to have
* Experience with large-scale data platforms and cloud-native technologies.
* Familiarity with modern data observability and data quality frameworks.
* Contributions to open-source data engineering or software development projects. Working with AI AI tools are integrated into our workflow to enhance productivity, such as code completion assistants and automated testing frameworks that help us deliver faster and with higher quality. Your expertise will be crucial in guiding the application of these tools, ensuring they augment rather than replace critical human judgment and architectural oversight.
