Data Scientist (Big Data) III

  • location: Oak Brook, IL
  • type: Contract
  • salary: $60 - $64.50 per hour

job description

Data Scientist (Big Data) III

job summary:
Job Description:


- Bachelor's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience

- Typically has 5 - 8 years of IT work experience in business intelligence tools and systems

- Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools

- Must have an extensive knowledge of data warehouse and data mart concepts

- Experience in systems analysis, design and a solid understanding of development, quality assurance and integration methodologies

- Typically has 7+ years of programming/systems analysis experience

location: Oak Brook, Illinois
job type: Contract
salary: $60.00 - 64.50 per hour
work hours: 8am to 5pm
education: Bachelors
- Responsible for gathering and assessing business information needs and preparing system requirements

- Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, Meta data and repository creation.

- Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse for accuracy

- Interacts with user community to produce reporting requirements

- Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage

- Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses

- Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments

- Makes recommendations towards the development of new code or reuse of existing code.

- Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations

  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: Bachelors
  • Big Data
  • BI Tools
  • Data Science

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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