2 days ago
• Lead Data Infrastructure Development: Design, build, and maintain scalable data pipelines and ETL processes • Contribute to the Data Platform: Enhance Dandy's data platform for data-driven decision-making • Take Ownership of Data Pipelines: Focus on production-ready, efficient, and resilient data systems • Shape Engineering Best Practices: Drive best practices for data engineering and documentation • Collaborate Across Teams: Deliver accurate solutions for data needs of various stakeholders • Optimize and Maintain Workflows: Ensure reliability, efficiency, and scalability of data workflows • Documentation & Knowledge Sharing: Create and maintain clear documentation for data architecture and processes
• Proven Experience: 4+ years as a Data Engineer, with a strong background in data workflows • Hands-On Technical Expertise: Proficient in Python, Airflow/Dagster, DBT, AWS or GCP • Production-Ready Data Systems: Experience in productionizing data workflows, ensuring efficiency and quality • Collaborative Problem Solver: Ability to communicate technical concepts to non-technical stakeholders • Growth-Oriented: Thrives in a high-growth environment, committed to continuous learning • Timezone Flexibility: Located within 3 hours of New York
• healthcare • dental • parental planning • mental health benefits • a 401(k) plan • paid time off
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