Data Engineer (Data Science)

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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