AT&T - Atlanta, GA
posted about 2 months ago
The Lead Big Data Software Engineering position at AT&T is a senior-level role that requires extensive experience in developing high-performance, distributed computing tasks using Big Data technologies. The successful candidate will be responsible for leveraging technologies such as Hadoop, NoSQL, and text mining, along with JVM-based functional languages like Scala and Clojure. Familiarity with Hadoop query languages, including Pig, Hive, Scalding, Cascalog, and PyCascading, is essential, as well as experience with alternative HDFS-based computing frameworks such as Spark and STORM. The role also emphasizes expertise in Python programming, JavaScript Data Visualization, and AI-Computer Vision, utilizing various image processing and Optical Character Recognition (OCR) model packages. The position operates within Public Cloud environments, particularly MS Azure, and involves working with both structured and unstructured data. The candidate will utilize AI technology solutioning platforms like Databricks, Data Warehouses such as Snowflake, and Data Lake Services like ADLSg2. The role requires a deep understanding of how data needs to be converted, loaded, and presented, necessitating interaction with data scientists and industry experts. The work environment is highly agile, and the candidate will be expected to write code, complete programming and documentation, and perform testing and debugging of applications. This position is critical for developing software enhancements and new products used in large-scale analytics and visualization solutions.