Data Engineer

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Edgeprop Singapore

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python MongoDB SQL Linux Airflow Apache Flow Elastic AWS ETL

Job Description

Position : Data Engineer (Junior/Mid-level)

Employment Type : 1-2 years contract


The Mission (Job Function)

We are looking for a savvy Data Engineer to architect and optimize the data infrastructure powering EdgeProp’s AI initiatives. You will build high-performance data pipelines, ensure seamless data flow across cross-functional teams, and solve complex operational challenges. You aren’t just moving data; you are ensuring the integrity and scalability of the engine that drives our product insights.


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

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