Key Responsibilities:
- Extract, transform, and ingest real estate data to data warehouse;
- Build robust program for data extraction with failure to retry with various queries (restful API, GraphQL, etc.);
- Help data engineers in building efficient data pipelines (using Airflow, DBT, AWS etc.);
- Build critical data models and applications to support products and solve specific business needs (using SQL, Python etc.);
- Perform data validation to assure integrity, accuracy and consistency, identify the root cause of data inconsistencies and process defects, and implement timely corrective actions;
- Collaborate with data analysts/scientists, as well as the product teams to improve data flows and applications performance.
Requirements:
- Proficiency in Python and SQL, with hands-on experience
- Strong analytical abilities to effectively process and interpret data
- Excellent verbal and written communication skills for seamless team collaboration
- Knowledge in the real estate field is advantageous
- Preferred educational background in Computing, Science, Engineering, or other related quantitative fields
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