Инженер данных

Fundraise Up is a global fundraising platform that enables nonprofits to process donations efficiently through fast, seamless, and accessible technology. The platform serves leading global NGOs and nonprofits by providing customizable checkout experiences, donor portals, and advanced analytics tools.

• Design and evolve the architecture of the data platform and storage systems;
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse;
• Maintain and further develop the Data Warehouse;
• Collaborate with engineering and analytics teams on system design and architectural decisions;
• Ensure data governance and maintain high standards of data quality;
• Write and optimize queries for MongoDB and ClickHouse;
• Manage and maintain workflows in Airflow;
• Actively use AI in day-to-day work to identify improvements and solve problems.

• 7+ Years of experience as a Data Engineer;
• 5+ Years of experience with Python, TypeScript, Node.js, and Kafka;
• Strong understanding of data processing algorithms and principles;
• Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, and Docker;
• Solid understanding of Data Lake and Data Warehouse architectures;
• Experience working with large-scale data and query optimization;
• Ability to work collaboratively toward shared goals;
• Strong sense of ownership, responsibility, and proactivity;
• English level: B1+;
• Nice to have: Experience with Apache Parquet, MLflow, MongoDB.

• Stock options;
• Private medical insurance for the employee and their family;
• 23 Paid vacation days per year;
• 11 Paid public holidays per year;
• 5 Company-paid sick leave days;
• English learning courses;
• Relevant professional education;
• Gym or swimming pool;
• Home Office Setup Assistance for furniture and workspace equipment;
• Co-working space access.