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

• Experience

  6 - 12 Years

• No. of Openings

  3

• Education

  Graduate (B.Tech/B.E)

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office