Data Engineer
3 weeks ago
About Us
Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.
Responsibilities:
- Extract, Transform, and Ingest real estate data into data warehouse
- Build robust program for data extraction with failure retry with various queries (restful API, GraphQL, selenium, etc.)
- Design and implement data extraction solution in a distributed system
- Build efficient data pipelines (using Airflow, DBT, AWS etc.)
- Build 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
- Maintain data pipeline to ensure the smooth operation
- Collaborate with data analysts, data scientists, and product teams to improve data flows and applications performance
Requirements:
- Major in computer science, computer engineering, data analytics or other related technical field preferred
- At least 2 years of experience in data related fields
- Experience in handling large data sets and working with structured, unstructured and geographical datasets
- Strong experience in developing with Python and SQL
- Experience with distributed computing, parallel processing, and working with large datasets
- Strong experience in data lakes (integration of different data sources into the data lake)
- Experience in using Apache Airflow, DBT and/or AWS will be an added advantage
- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams
Tell employers what skills you have
Airflow
Big Data
Pipelines
Hadoop
Property
ETL
Data Engineering
SQL
Python
Selenium
Real Estate
API
Teamwork Skills
Data Analytics
Apache
Databases
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