Professional - IT Consulting

Responsibilities

Key Qualifications

• 4+ years of running services in a large scale Unix environment.
• Understanding of SRE principles and goals along with good Oncall experience
• Experience and understanding on Scaling, Capacity Planning and Disaster Recovery
• Fast learner with excellent analytical problem solving and communication skills
• The ability to design, author, and release code in any language (Go, Python, Ruby or Java would be a plus)
• Deep understanding and experience in one or more of the following - Kubernetes, AWS, Ansible, Hadoop, Spark, Cassandra, Docker, Mesos, Spinnaker, Helm
• Experience working on supporting Java applications
• Experience using monitoring and logging solutions like Prometheus, Grafana, Splunk etc.
• Familiarity with DNS, HTTP, message queues, queueing theory, RPC frameworks, datastore
  
  Technical and Professional Requirements:
  Skillset Spark (primary) + Kube + Application Troubleshooting (Java+ Scala)
  Preferred Skills:
  
  Bigdata->Hadoop
  Bigdata->Spark
  Bigdata->Pyspark
  Bigdata->Python
  
  
  Additional Responsibilities:
  
• Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data
• Awareness of latest technologies and trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions
• One or two industry domain knowledge
  
  Educational Requirements
  Bachelor of Engineering
  
  Service Line
  Data & Analytics Unit
  
  
  
  
  * Location of posting is subject to business requirements