Analyze data sets of millions of customers - and uncover groundbreaking solutions that have a global impact.
"You get to work on multi-million dollar projects from day one using the latest technology, and there are many training opportunities if you want to learn something new."
Sang Han — Senior Data Scientist
Connect communities with the power of technology.
#ChiefDataOffice
Full Stack Development background with Java and JavaScript/CSS/HTML |
Knowledge of ReactJs/Angular is a plus |
Big Data Engineer with solid background with the larger Hadoop ecosystem and real-time analytics tools including PySpark/Scala-Spark/Hive/Hadoop CLI/MapReduce/Storm/Kafka/Lambda Architecture |
Comfortable with using the larger Hadoop eco system |
Familiar with job scheduling challenges in Hadoop |
Experienced in creating and submitting Spark jobs |
Experienced with Kafka/Storm and real-time analytics |
Core Java and Python/Scala background and their related libraries and frameworks |
Experienced with Spring Framework and Spring Boot |
Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting |
PL/SQL, RDBMS background with Oracle/MySQL |
Familiarity with ORMs a plus |
Design, Development, Configuration, Unit and Integration testing of web applications to meet business process and application requirements |
Familiar with config management/automations tools such as Ansible/Chef/Puppet |
Comfortable with microServices, CI/CD, Dockers, and Kubernetes |
Familiarity with AT&T’s ECO platform is a plus |
Comfortable tweaking/using Jenkins and deployment orchestration |
Creating/modifying Dockers and deploying them via Kubernetes |
Full Stack Development background with Java and JavaScript/CSS/HTML |
Knowledge of ReactJs/Angular is a plus |
Big Data Engineer with solid background with the larger Hadoop ecosystem and real-time analytics tools including PySpark/Scala-Spark/Hive/Hadoop CLI/MapReduce/Storm/Kafka/Lambda Architecture |
Comfortable with using the larger Hadoop eco system |
Familiar with job scheduling challenges in Hadoop |
Experienced in creating and submitting Spark jobs |
Experienced with Kafka/Storm and real-time analytics |
Core Java and Python/Scala background and their related libraries and frameworks |
Experienced with Spring Framework and Spring Boot |
Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting |
PL/SQL, RDBMS background with Oracle/MySQL |
Familiarity with ORMs a plus |
Design, Development, Configuration, Unit and Integration testing of web applications to meet business process and application requirements |
Familiar with config management/automations tools such as Ansible/Chef/Puppet |
Comfortable with microServices, CI/CD, Dockers, and Kubernetes |
Familiarity with AT&T’s ECO platform is a plus |
Comfortable tweaking/using Jenkins and deployment orchestration |
Creating/modifying Dockers and deploying them via Kubernetes |
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In everything, every time.
Impact your world.
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