Big Data Scientist

Statistical analysis expertise

Data modeling, including reverse and forward engineering

Database Design: RDMS along with Data Warehouse, Data Mart and Data Mining

Data Modeling Tools: IBM Rational tools (InfoSphere Data Architect and Clear Case).

Hadoop frameworks such as Hive, Sqoop, and Pig

SQL, SQL Plus, PL/SQL

Oracle 10 or later

MS Office Suite (Access, Word, Excel, etc.)

Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information

Detailed knowledge of statistical and predictive modeling concepts and disciplines

Knowledge of industry-leading practices

Excellent Verbal Communication Skills

Strong listening and communications skills, with the ability to clearly and concisely explain complex problems and technologies to non-expert and executive audiences).

Excellent Written Communication Skills includes ensuring that text is accurate and is expressed in a clear and straightforward manner.

Education/Certification Requirements:

Bachelor's Degree

Data modeling,Database Design,Hadoop frameworks

Multiple Openings for GC/Citizen