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