Technical Advisor - Data Science Engineer at NEC Corporation of America

Posted in Software 10 days ago.

This job brought to you by eQuest

Type: Full-Time
Location: Princeton, New Jersey





Job Description:

Location:  Princeton, NJ

With more than 117 years of technology innovation, a global team of 100,000, and 64,000+ technology patents, NEC is in the business of providing solutions that focus on safety, security, operational efficiency - enabling people to live brighter, more enriched lives. We call this orchestrating a brighter world.

NEC Enterprise Communication Technologies, Inc. (“NECECT”) is a wholly-owned subsidiary of NEC Corporation.  The company develops and supports a wide range of solutions, including Unified Communications, Software-defined networking, Video Analytics and IoT.

Summary:

In this full-time consulting role, the Technical Advisor - Data Science Engineer, is involved in analysis, requirements definition, designing, developing, leading, training and promoting current and future phases of client projects to solve complex business problems by taking a new perspective using existing solutions for Business Intelligence - Data.

Essential Duties and Responsibilities:


  • Responsible for providing technical advise for data science – business intelligence – big data including analyzing, testing, updating, installing, configuring, data architecture, data modeling, reporting standards and procedures, data definitions development, project issue resolving and reconciliation. and administering Big Data products.

  • Work collaboratively with team to identify and provide business intelligence solutions

Required Skills:



  • 5+ years of work experience with Business Intelligence/Data-warehousing products, specifically with installing, configuring, and administering Big Data products




  • Hands-on experience on Big Data Vendor products from Cloudera, Hortonworks, Pivotal, MapR, etc.




  • Hands-on knowledge of Big Data technologies such as Hive, Hbase, Zookeeper, Spark, Storm, etc.




  • Hands-on experience on Hadoop 2.0 components like, Yarn and High-availability




  • Hands-on experience in creating Clusters, HDFS backup and Migration




  • Hands-on experience with cluster upgrades, migrating applications and customization




  • Hands-on experience in Authentication/Authorization mechanism such as Kerberos and Sentry




  • Experience in Tableau development 




  • Experience with production level support for onsite and offshore teams a plus




  • Experience on Amazon Web Services (AWS) infrastructure a plus




  • Infrastructure architecture experience, including hardware sizing, effort estimation and security design




  • Strong DBA skills with at least one of the following: PostgreSQL, Oracle 11g, DB2 10.1 or SQL Server 2012 is strongly preferred




  • Experience with at least one of the following is preferred: NoSQL DBs, Cognos, IBM DataStage, DB2, Teradata, Endeca, and SAS




  • Excellent listening, written and verbal communication skills




  • Strong analytical and reasoning skills, sound decision-making and organizational abilities




  • Prior consulting experience -Consulting companies focused on Data Science / AI 




  • Bachelor's degree in Computer Information Systems, Computer Science, Engineering, or related technology discipline




  • Ability to travel 75%



Prerequisites:

Education:         Bachelor's Degree in MIS, Computer Science or related field. Experience can substitute for the degree.

Experience:       A minimum of six years of Reporting and Information Delivery experience.

Experience leading a team and interacting with client users.

Specialized Knowledge and Skills:

Language Skills: Professional Business English

Reasoning Skills: Excellent Customer Service and communication skills   

Computer and/or Technical Skills:            Minimum 5 years Knowledge of Business Intelligence/Data

Knowledge of Dashboard and Scorecard or Executive Information System (EIS) functionality and capabilities.

Relational, OLAP, Star Schema, Snowflake Schema, Multi-Dimensional database modeling and design skills.

Strong SQL query, data analysis and report writing skills.