Data Engineer

Responsibilities: Develop and optimize data pipelines and architecture for cross-functional teams Design and maintain robust ETL pipelines to ingest large-scale real estate data Manage external data acquisition systems including IP proxy rotation and automated ingestion workflows Ensure data accuracy and integrity through automated monitoring processes Support the EdgeProp AI team in implementing technical solutions and NLP initiatives Collaborate with Product and Engineering teams to architect data solutions Solve daily operational data problems to ensure consistent delivery across projects Requirements: BS/MS in Computer Science or a related technical field. Minimum 3-5 years of professional data engineering experience Hands-on experience with SQL, Relational databases, MongoDB, and Elastic Search Proficient in Python for data processing Experience managing IP proxy rotation and automated data ingestion Experience with AWS, Linux Server and Apache Airflow is an advantage Strong communication skills in English and a "can-do" attitude