Senior Data Engineer

📋 Description Design and develop data pipelines: Build, maintain, and optimize scalable ETL/ELT pipelines that Build data warehouses and models: Develop and optimize data warehouses and data marts using Manage data ingestion and integrations: Create and maintain robust ingestion frameworks and API Implement data quality and governance: Establish validation rules, schema management practices Integrate AI into engineering workflows: Regularly use AI-powered coding assistants, intelligent Develop intelligent and agentic workflows: Build and support multi-step automated processes that 🎯 Requirements At least 5 years of experience in data engineering or a related backend, data-focused engineering Strong SQL and Python skills, including the ability to develop reliable transformation logic Hands-on experience with modern data engineering frameworks and tools, such as dbt, for building Proficiency with cloud platforms, preferably AWS, and experience with serverless data services. Experience designing scalable data models using approaches such as Kimball dimensional modeling Demonstrated ability to integrate third-party APIs and external data sources, develop reliable 🎁 Benefits Competitive compensation: Receive a competitive salary, with specific compensation details to be Flexible paid time off: Benefit from an unlimited paid time off policy, subject to applicable Remote-first work environment: Work remotely with flexible working hours, supporting greater Professional development budget: Access up to $2,000 per year for professional development Home office support: Receive a home office setup stipend to help create a productive and AI-focused innovation: Work with modern data engineering technologies and AI-assisted development