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Big Data Hadoop Engineer - H1B


Job Id : 7963

Jobtitle : Big Data Hadoop Engineer - H1B

Location : Malvern, PA

Company Name :  IKCON TECHNOLOGIES INC

Industry : Information Technology

Salary : $17,600 - $135,000  YEAR

Job type : Fulltime

Posted on: 2019-11-27


Required Skills : Flume, Hadoop, Hbase, HDFS, Hive, MapReduce, Oozie, Pig, Sqoop, Storm, Zookeeper

Benefits : No benefits are available


Job Description:

  • Perform end-to-end/full stack software solutions development and deployment of our Machine Learning (ML) algorithms
  • Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues
  • Closely partner with product team on time to value discussions and implementation considerations
  • Provide technical guidance, communicate technical decisions, and mentor developers
  • Partner with Product Engineering and Technology leadership to ensure a consistent technology strategy across teams and products
  • Lead multiple software development initiatives at any given time, serving as an expert for the escalation of complex application design and development issues.
  • Perform application design and code reviews on machine learning projects
  • Working knowledge of production data pipelines supporting modeling techniques and model interchange in production settings
  • Deep understanding of data design systems and experience handling large data sets
  • Ability to articulate complex technical ideas and issues effectively
  • Present project metrics, complex ML concepts to both technical and non-technical audiences.
  • Expertise in creating ML Pipeline
  • Work with all levels within the company including CTO teamQualifications
  • Experience in overall Software Development
  • Must have strong knowledge in ML - AWS SageMaker, ML, S3, Cloudwatch, IAM
  • Must have 5+ years of AWS Cloud Infrastructure using AWS best practices
  • Big Data Ecosystems: Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Oozie, Storm, and Flume.
  • Spark Streaming Technologies: Spark
  • Scripting Languages: Python, Scala, Ruby on Rails and Bash.
  • Programming Languages: Java, SQL, Java Scripting, HTML5, CSS3
  • Databases: Data warehouse, RDBMS, NoSQL, Oracle.
  • Java/J2EE Technologies: Servlets, JSP (EL, JSTL, Custom Tags), JSF, Apache Struts, Junit, Hibernate 3.x, Log4J Java Beans, EJB 2.0/3.0, JDBC, RMI, JMS, JNDI.
  • Testing Tools: NetBeans, Eclipse.
  • Operating Systems: Unix/Linux

Minimum Qualifications:

  • Bachelor’s Degree or master’s degree in the field of Computer Science or Information Systems or a related field.

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