The Opportunity

The CDO team at AT&T strives to lead transformation through data-driven decisions that advance the customer experience and businesses around the world. With access to one of the coolest and largest data sets available, we enable the discovery and development of meaningful insights that inspire continuous innovation.

We are seeking an experienced self-driven software engineer who is comfortable being part of a small skunk works team responsible for building, designing, and end-to-end ownership of an operational prototype tasked to deliver intelligent data driven products. 

Responsible for the development of high performance, distributed computing tasks using big data technologies such as Spark, DataBricks, Kafka, NoSQL, text mining and other distributed environment technologies.

 Key Roles and Responsibilities

Uses big data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications. Analyzes, designs, programs, debugs and modifies software enhancements and/or new products used in distributed, large scale analytics and visualization solutions. Interacts with data scientists and industry experts to understand how data needs to be converted, loaded and presented. Works in a highly agile environment. Manages day to day work and deliverables .

 Qualifications

 Masters of Science in Computer Science, Math or Scientific Computing preferred. Typically requires 5-8 years experience. Hands on experience using Spark, DataBricks, Kafka, R, Python, Scala, Java, SQL, C++. Knowledge of AT&T Datasets. Experience with Azure cloud services. Strong communication skills – communicating with all levels of management, understanding business requirements, and defining project roadmaps.

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