The Data Analytics and Infrastructure team is responsible for building and maintaining the state-of-the-art ETL infrastructure that makes this data available and accessible to the entire company to make data driven decisions.
Build next-generation real-time, scalable, fault-tolerant ads reporting system using the latest open-source technologies to process terabytes of data to deliver key performance metrics to advertisers with minute-scale delay.
Works closely with DBAs, Product Managers, and Engineers to become a source-data-expert and maintain optimal data warehouse performance. Builds partnerships with business users, analysts, and data scientists to understand data, reporting, and analytic requirements.
As a member of the team, you will build systems to manage hundreds of petabytes of data and process tens of millions of events per second in real time. The services you build will integrate directly with companys products, opening the door to new and cutting-edge features.
Demonstrated experience of collaboration in fast paced environment with minimal guidance. Proactive, results-oriented attitude. Great understanding of accurate data definition, type of data quality checks, data variances, predictive data patterns, duplicate data detection.
Build data infrastructure to make it extremely simple to obtain insights from the wealth of data that stores in its global datacenters. Apply your expertise in distributed databases and large scale systems to simplify the immense complexity of wrangling with humongous amounts of underlying data, enabling Twitter to be more agile.
You will surface these datasets in real time to mission-critical products and business applications throughout the company. You will be among the earliest adopters of bleeding-edge data technologies and features, working directly with infrastructure teams to integrate them into your services at scale.