Fundraise Up

Fundraise Up

Fundraise Up specializes in enhancing online donation processes through AI-driven conversion optimization and integrated payment solutions, enabling organizations to maximize their fundraising potential and improve donor engagement.

Capital Markets
51-250
Founded 2017

Description

  • Design and evolve the architecture of the data platform and storage systems.
  • Build reliable ETL/ELT processes and scalable data pipelines into a centralized analytical warehouse.
  • Maintain and further develop the Data Warehouse.
  • Collaborate with engineering, analytics, and Data Science 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.
  • Take full ownership of the data domain at the initial stage and help expand the team as the product grows.

Requirements

  • 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+.
  • Experience with Apache Parquet, MLflow, and MongoDB is preferred.

Benefits

  • GEL11,900 - GEL13,800 gross compensation plus stock options.
  • 31 days off.
  • 100% paid telemedicine plan.
  • Home office setup assistance, including furniture and equipment support.
  • English learning courses.
  • Relevant professional education.
  • Gym or swimming pool access.
  • Co-working support.
  • Remote working with CET hours preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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