Job Description

This is a hands on role for a data focused individual to design and develop the next generation of data products in the real estate industry.

Key Responsibilities

• Spearhead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety)
• Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
• Manage a team of data engineers to maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making
• Lead the movement cleaning and normalizing subsets of data of interest as preparatory step before deeper analysis by the data scientists
• Run Modern high performance analytical databases and computation engines
• Design and implement various data health checks to ensure the data quality and consistency across systems
• Design and implement data extraction solution in a distributed system

• Minimum 3 years experience with Data Engineering, covering data pipelines from end-to-end
• Experience in handling large data sets and working with structured, unstructured and geographical datasets
• Deep understanding of databases and best engineering practices - include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline
• Experience with DevOps and AWS will be an advantage
• Real passion for data, new data technologies, and discovering new and interesting solutions to the company\xe2\x80\x99s data needs
• Excellent communication skills to communicate with the product development engineers to coordinate development of data pipelines, and or any new products features that can be built on top of the results of data analysis