At AT&T we bring the world together with technology in ways you never imagined. With a range of products and services enhancing how you live, play and work, we’re keeping you connected to the future. We rely on the latest in data sciences and engineering to curate, analyze and improve our customer experience and operations.
The Big Data 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 Hadoop, Spark, 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 .
Masters of Science in Computer Science, Math or Scientific Computing preferred. Typically requires 8-10 years experience. Hands on experience using Hadoop, Spark, 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.
Big Data Intern
Good experience overall. Colleagues were very helpful. Atmosphere was chilled out and there was no rush to complete the project. Was given ample amount of time to understand the project and contribute.
People are laid back and don't take initiative to do something new or optimize existing stuff. It's not primarily engineering company so if you know how to talk, you will go far longer in career.Current Employee - Principal Business Manager
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