Big Data Software Engineer (Advertising) - BIG DATA
This position will be filled in Plano, TX. No relocation assistance is provided. This role supports the Advertising Analytics and Audience Measurement team, and interfaces with various marketing, media and advertising functions within AT&T.The Big Data Software Engineer is responsible for the development of high performance, distributed computing tasks using Big Data technologies. This position will use Big Data programming languages and technology, write code, complete programming and documentation, and perform testing and debugging of applications. It will also analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large scale analytics and visualization solutions. Position will interact with data scientists and industry experts to understand how data needs to be converted, loaded and presented.
Additional responsibilities include the following:
Works with the raw data, cleanses it and finally polishes it to the format where it can be consumed by Data Scientists to create critical insights.
Assists with ad-hoc requests coming from business partners. These can be simple statistics, data manipulation/cleansing/ETL (extract, transform, load) or highly complex operations.
Performs analysis, implementation, and performance tuning for engineered artifacts.
Exercises judgment on how to effectively communicate highly technical and complex details through the use of visualization and careful selection of knowns versus hypotheticals.
Provides technical expertise to peers across the company. Actively promotes good working relationships and collaboration across multiple teams within Big Data and across the enterprise.
Solves complex, critical problems related to significant and unique issues. Uses extensive research and interpretative thinking. Utilizes innovative methods in developing solutions. Works on abstract problems requiring evaluation of intangible variables.
The preferred location is Plano, TX. Additional locations that will be considered include Atlanta, Greater Los Angeles or Palo Alto.
Hadoop-based technologies (MapReduce, Hive and Pig) required
SQL-based technologies (PostgreSQL and MySQL)
NoSQL technologies (Cassandra and MongoDB)
Data modeling tools (ERWin, Enterprise Architect and Visio)
Knowledge of Advertising technology and ecosystem space a plus.
Expert level competency with Java, Spark, high performance tuning, machine learning methods for classification and deep learning for pattern recognition.
The ability to mentor and develop others in Big Data technologies.
Strong communication and presentation skills are required to effectively convey relevant insights to the teams and synthesize results for executive consumption.
Ability to interface with and convey technical concepts and approaches to a non-technical/senior management audience.
Professional Level: Bachelors of Science in Computer Science, Math or Scientific Computing preferred. Requires 3-5 years of experience.
Senior Level: Bachelors of Science in Computer Science, Math or Scientific Computing preferred. Requires 5-8 years of experience.
Principal Level: Masters of Science in Computer Science, Math or Scientific Computing preferred. Experience: Requires 8-10 years of experience.
Website : http://www.att.com
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