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.
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.
Install, configure, and test integration solutions (Interfaces) between TriTech and third party applications and performs advanced troubleshooting activities as necessary. Assess the criticality of software defects.
As a member of our Data Services team you will be a member of a service group responsible for continuing organizational expansion of our data platform. Ideal candidate must be enthused about all spectrum of big data development, including data transport, data processing, data warehouse/ETL integration, quick learning and self-starting.
Working on data-related problems. Youll be instrumental in defining the scope, design, and ETL processes, and youll work with business users to ensure that they have accurate, reliable financial reporting.
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.
Design and develop highly scalable Data Pipelines that incorporate complex transformations and efficient code. Data will need to flow to and from unstructured and relational systems for analytic processing.
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.