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Company Info
Johnson & Johnson
NY & NJ, NY, United States

Company Profile

Senior Systems Consultant (Big Data & Linux)


Job ID:



NY & NJ, NY, United States 


Analytics, Big Data Analytics, Big Data BI, Data Center, Data Scientist, DBA, Hadoop, Hadoop ADMIN, IOS, Java Developer, Machine Learning, 743

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Job Description:

Regular interaction with customers with a key focus on ensuring success for our customers • Proactive handling of complex projects and supporting those projects implemented. • Applying substantial domain knowledge and extensive system delivery experience to our systems • Working with several different system types • Create high-quality technical documentation, for example Acceptance Test documentation • Contributing to business development including scoping and quoting candidate systems for new themselves • Assessing work sequences and assessments on how to complete system deliveries • Contributing to the daily operations and strategic direction of the company’s drive for continuous improvement • Finding new and better solutions, challenge existing solutions in a professional and constructive manner • Share experiences between colleagues aiming on perfecting best practices • Working with software engineers to deploy/modify code and software packages regularly • Tuning, troubleshooting and scaling Big Data technologies – must have curiosity and interest with the internal workings of a complex system.

Job Requirements:

Mandatory Technical Skillsets • Analytical mind and keen sense of software logic • Must act as an effective bridge between developer and end-user. • Experienced in delivering complex, scalable and large scale big data systems. • Experienced in large volume data ingestion, processing and analysis in real-time, near real-time or batch • Strong understanding of TCP/IP • Strong in Linux and shell scripting, preferably with CentOS or Redhat • Good understanding of Big Data framework and related technology stack like Hadoop, Parquet, HBase, AVRO, HDFS, Mesos, YARN • Good Understanding of messaging systems like Kafka, ActiveMQ • Good understanding of processing frameworks like MapReduce, Spark • Good understanding of relational and NoSQL databases like Postgres, Elasticsearch, Cassandra and some DB programming with TSQL or PL/SQL • Experienced in at least one of the high level languages – Python, Ruby, R

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