— optimize the existing data platform for both performance and reliability
— optimize SQL/NoSQL database queries, stored procedures, triggers, user functions, analytic functions, etc
— read and Optimize Query Plans
Strong Candidates will Have:
Hands-on experience developing APIs and SDKs
— experience with both large scale transaction and analytical database technologies
— experience with service-oriented architecture and a good understanding of distributed systems, data stores, data modeling, and indexing (especially with Event Sourcing and/or CQRS)
— hands-on experience with SQL and large-scale distributed storage and database systems
— ability to deal with ambiguity and communicate well with both technical and non-technical teams
Our client is a US company, the leader in real estate data and insight. It provides investors, insurers, brokers and other large enterprises with a platform to collect, resolve, and augment real estate data from thousands of public, private, and internal sources.
The platform combines transaction and analytical data and makes it available through multiple interfaces and APIs. We need an expert who can improve query performance and contribute towards architectural decisions, taking into consideration the constraints created by the different use cases for data and the complexities introduced by Microservices, containers and container orchestration.