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Johnson & Johnson
NY & NJ, NY, United States

Company Profile

Lead Software Engineering - Big Data ( Exposure to Sprak, Scala , Hive)


Job ID:



Bangalore, IN-KA, India 


Analytics, AWS - Amazon Web Service, Big Data Appliance Skills, Big Data Architect, BigData Admininistration (DBA), Hadoop, Java Developer, Machine Learning, MongoDB, MySql, On-Line Analytical Processing (OLAP), Python, QlikView, Tableau, R Language

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Job Description:

eam requires a full stack Java developer with 6+ years of experience, primarily responsible for high quality development to meet the project/business needs. The role requires interaction with technologists such as architects as well as with business.
Roles & Responsibilities
Hands on development of enterprise scale web applications that support customer self-service, business to business and system to system integration utilizing established and emerging technologies; completing programming using languages and software products; designing and conducting tests.
Contributing to application development by coordinating user requirements, schedules and activities, evaluating technical systems designs, contributing to team meetings, troubleshooting development and production issues across multiple environments and constructing software that meets requirements, promotes reuse, is cost effective, maintainable and highly performant. 
Supporting product release activities (QA, deployment); participate in product installation & post install support.
Foster innovation through research and conducts studies of alternatives, analyzes and recommends changes in project developmental policies, procedures, standards, and development strategies
Updates professional knowledge by researching new internet technologies and software products, participating in educational/training opportunities, reading professional publications, maintaining professional networks.

Job Requirements:

experience in building highly scalable solutions in data storage, real-time analysis and reporting for multi-terabyte data sets
Experience architecting and building larger scale data processing systems using big data technologies like hadoop, hbase, cassandra, Spark, Storm, Kafka, Druid flink etc.,
Experience with SQL and NoSQL databases
Solid s/w development skills in Java, Scala or Python
Experience in building or developing enterprise scale data warehousing prior is preferred
Experience in BI tools IBM Cognos, Tableau or Qlikview is preferred

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