Who We Are
Our client is revolutionizing the real estate industry with a cutting-edge platform that streamlines property buying and selling through advanced geospatial data. Their mission is to redefine the essence of "where."
Your Role
As a Data Engineer, you will collaborate with the Senior Data Engineer and CTO to spearhead the strategy, development, and delivery of business objectives rooted in data and software. This role demands the application of best practices, fostering innovation, standardization, and establishing a data-centric advantage in the industry.
Responsibilities
- Apply expertise in data science, statistical analysis, and data crawling to enhance company products and decisions.
- Establish and maintain a robust data warehouse and pipelines, supporting teams across the organization and creating potential dataset products.
- Build and refine data models, automation systems, performance metrics, and reporting systems.
- Develop, train, and continually update machine learning models using a variety of tools and frameworks.
Requirements
- Degree in Computer Science, Data Analytics, Statistics, or a related field.
- Basic understanding of Geographical Information Systems (GIS).
- Strong programming skills in Python, MySQL, etc.
- Knowledge of machine learning concepts, frameworks, and techniques.
- Exceptional skills with data infrastructure technologies, including Spark, Tensorflow, etc.
- Familiarity with data engineering methodologies, ETL, and experience manipulating datasets hosted on Hadoop, GCP, AWS, etc.
- Ability to work independently and collaboratively, with excellent interpersonal and communication skills.
Bonus Points for:
- Deep understanding of Geographical Information Systems (GIS) and ArcGIS.
- Real estate domain experience.
- Expertise in the use of Vertex AI in GCP.
Benefits
Salary from 1,500 USD to 1,700 USD