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Hadoop Developer - IoT BigData Jobs

Hadoop Developer

Hadoop Developer

Township of Piscataway, NJ 2016-11-03 - –

RangTech1 RangTech

Job Description
· Hadoop development and implementation.

· Loading from disparate data sets.

· Pre-processing using Hive and Pig.

· Designing, building, installing, configuring and supporting Hadoop.

· Translate complex functional and technical requirements into detailed design.

· Perform analysis of vast data stores and uncover insights.

· Maintain security and data privacy.

· Create scalable and high-performance web services for data tracking.

· High-speed querying.

· Managing and deploying HBase.

· Being a part of a POC effort to help build new Hadoop clusters.

· Test prototypes and oversee handover to operational teams.

· Propose best practices/standards.

· Bachelor’s degree in Computer Science/ IT or equivalent work experience

· Experience working with, processing and managing large data sets is a must

· 2+ years of proven experience in Big Data Components/Frameworks (Hadoop, HBase, MapReduce, HDFS, Pig, Hive, Sqoop, Flume, Oozie, YARN)

· Knowledge and experience of System Development Life Cycle (SDLC), product development methodologies, database design concepts and system integration strategies.

· Experienced in SQL, core Java/Python/Perl is required

· Good knowledge of HBase schema design and optimization

· Experience working on Hadoop projects

· Good in requirements gathering and analysis

· Solid SQL experience is a big advantage.

· Familiarity with MapR M7 is highly desirable

· Proficient communication skills both verbal and written

Additional Information
All your information will be kept co- MS in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.

  • Good understanding of Probability of Default (PD), LGD and EAD modeling technique.
  • Very good understanding of Predictive modeling techniques and their application.
  • Knowledge of Credit life cycle.
  • Statistics and machine learning techniques.
  • Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis
  • Team player and collaboration skills.
  • Programming skills in R, SAS, and PYTHON.
  • Fluency with Excel, PowerPoint and Word
  • Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly

    nfidential according to EEO guidelines.

  • To apply for this job please visit tinyurl.com.