Hadoop Developer - Los Angeles

  • Los Angeles, CA
  • Full-time

Company Description

One of FTR's Client's is searching for a Hadoop Developer

With over 30 years of experience FTR has the background to provide all your Staffing and Recruiting Needs. Whether you are looking for Contract/Temporary Professionals to provide expertise for a project, or just to get you through a busy time, or you need Permanent/Direct Placement personnel FTR can assist.

Job Description

Job Description:

Information Management (IM) professionals are focused on collecting and analyzing internal and external data to generate knowledge and value for the organization, including business process decision support at the strategic, tactical and operational levels. The IM Practice seeks to empower organizations to leverage and transform data for achieving innovative results. The Business Intelligence Consultant will have experience working with data warehouses and/or data marts and Business Intelligence concepts, tools and technologies.


Responsibilities include the following:

Creating functional requirements as input to application design.

Developing and testing detailed functional designs for Business Intelligence solutions.

Using technical expertise to ensure functional requirements are met.

Supervising application build, test, and deploy activities.

Only completed applications can be considered.

Basic Qualifications:
- Bachelor degree in mathematics, statistics, machine learning, or closely related computer science field.
- 2+ years of hands-on experience with Java programming

- 1+ years of hands-on experience with "productionalizing" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)

OR

- 3+ years previous experience extracting data from high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)
 
Preferred Skills:
Experience with data mining techniques and practices (filtering, classification) and analytics functions (over, median, rank)
Understands the principles of experimental testing and design, including population selection and sampling

Deep insights into statistical data model development self learning models

Familiar with machine learning and/or data mining algorithms like Mahout, Bayesian and Clustering

Experience working with very large data sets, grouping together data and visualizing results

Experience with generating business value from various dis jointed datasets using Analytics techniques like Graph/Relationship Analysis, Correlation Detection, Text Analytics, Cross Channel Analytics, Time Series Analysis etc.

Ideally a masters degree or higher in mathematics

Prefer industry / domain expertise for data being mined

Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)

Hands-on experience with "productionalizing" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)

Previous experience extracting data from high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)

Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores)
Professional Skills Requirements:
Self-starter, with a keen interest in technology and highly motivated towards success

Must be proactive and be prepared to address meetings

Must show initiative and desire to learn business subjects

Able to work independently and provide updates to management

Strong analytical and problem solving capabilities

Excellent problem solving skills; proven teamwork and communication skills
 
Professional Skill Requirements:
·        Proven ability to work creatively and analytically in a problem-solving environment
·        Desire to work in an information systems environment
·        Excellent communication (written and oral) and interpersonal skills
·        Excellent leadership and management skills
·        Demonstrated leadership in professional setting; either military or civilian
·        Demonstrated teamwork and collaboration in a professional setting; either military or civilian

Additional Information

All your information will be kept confidential according to EEO guidelines.