Big Data Platform Engineer

Company Name: Celgene Corporation
Location: Summit, NJ US
Date Posted: 16th Jun, 2017
Description:

•Perform configuration, patching, upgrades of the Cloudera environments and associated tools

•Own and resolve any opportunities or issues related to the operations of the platform across multiple tenants.

•Create detailed designs and POCs to enable new workloads and technical capabilities on the Platform.  Work with the platform and infrastructure engineers to implement these capabilities in production.

•Create full visibility into the health and utilization of the platform through use of real-time dashboards, alerts and other mechanisms.

•Manage workloads and enable workload optimization including managing resource allocation and scheduling across multiple tenants to fulfill SLAs.

•Provide Level-3 support and coordinate support from relevant vendors

•Coordinate activities with Cloud Infrastructure and other enabling IT teams

•Ensure platform SLAs are met

•Reports KPI and Metrics

•Participate in planning activities

•Participate in Data Science CoP and perform activities to increase platform skills

Qualification:

 

Qualifications

Prerequisites:

•Bachelor's degree in computer science, system analysis or a related study, or equivalent experience

•Minimum of 3-5 years hands-on experience with Big Data technologies e.g. Hadoop, Spark, Hive. Robust experience with Cloudera is a plus.

•Minimum 3-5 years of experience in Cloud environments, preferably AWS

•Excellent interpersonal skills in areas such as teamwork, influence, facilitation and negotiation

•Problem Solver

Skills/Knowledge Required:

•Bachelor's degree in computer science, system analysis or a related study, or equivalent experience

•Minimum of 3-5 years working in a Big Data service delivery (or equivalent) roles focusing on the following disciplines:

  • Platform/IT engineering and/or deployment
  • Solution architecture
  • Big Data Analytics / Business Intelligence / Data Warehousing

•Minimum of 5-10 years of combined hands-on experience with the following techniques and tools:

  • Big Data (Hadoop ecosystems/distributions e.g. Cloudera/HortonWorks/EMR)
  • NoSQL and Graph databases
  • Data integration (ETL/ELT)
  • Metadata Management
  • Solid security expertise, in particular with Kerberos and Active Directory
  • Hands on experience with managing solutions deployed in the Cloud, preferably on AWS

•Cloudera Engineer Certification is a plus

•Experience working in a Global company and an on-shore/off-shore operating model 

•Experience working in a DevOps model is a plus

•Understanding of IT Processes and Frameworks such as ITIL and SDLC

•Ability to quickly learn new technologies

•Excellent interpersonal skills in areas such as teamwork, influence, facilitation and negotiation

•Problem solver with having demonstrated the ability to “think out of the box”.

•Strong written and verbal communication skills.  Explain complex technical issues in simple, business-friendly language

•Excellent planning and organizational skills

•Demonstrated ability to work well with others and be respected as a leader

•Capability for being thoughtful, extroverted and collaborative

•Motivation that is focused on long-term results