Local candidates (Jersey City, NJ). Please indicate current location on your resume.
W2 only no C2C
Must have experience in the following to be considered:
Big Data: Proactive experience with Hadoop and FDHS storage.
Processing: Spark/PySpark for large-scale data transformation.
Experience: 5-8 Years
Education: B.S. in Computer Science (Required)
The Role
You will bridge the gap between financial business logic and Big Data engineering. The goal is for you to translate the Business Partner needs to the developers. You won't be working with data, this role works with the team building the product.
Core Responsibilities
Functional Architecture: Convert complex "future loss" business logic into technical specs
Logic Integration: Design the interface that allows BPs to execute custom macro-style logic within a Big Data environment.
Hadoop (FDHS) ecosystem.
System Optimization: Ensure user-defined parameters are optimized for distributed computing.
Technical Requirements
Big Data: Proactive experience with Hadoop and FDHS storage.
Processing: Spark/PySpark for large-scale data transformation.
location: Jersey City, New Jersey
job type: Contract
salary: $64.20 - 72.20 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Experience: 5-8 Years
Education: B.S. in Computer Science (Required)
The Role You will bridge the gap between financial business logic and Big Data engineering. The goal is for you to translate the Business Partner needs to the developers. You won't be working with data, this role works with the team building the product.
Core Responsibilities
- Functional Architecture: Convert complex "future loss" business logic into technical specs
- Logic Integration: Design the interface that allows BPs to execute custom macro-style logic within a Big Data environment.
- Hadoop (FDHS) ecosystem.
- System Optimization: Ensure user-defined parameters are optimized for distributed computing.
- Big Data: Proactive experience with Hadoop and FDHS storage.
- Processing: Spark/PySpark for large-scale data transformation.
qualifications:
Experience: 5-8 Years
Education: B.S. in Computer Science (Required)
The Role
You will bridge the gap between financial business logic and Big Data engineering. The goal is for you to translate the Business Partner needs to the developers. You won't be working with data, this role works with the team building the product.
Core Responsibilities
Functional Architecture: Convert complex "future loss" business logic into technical specs
Logic Integration: Design the interface that allows BPs to execute custom macro-style logic within a Big Data environment.
Hadoop (FDHS) ecosystem.
System Optimization: Ensure user-defined parameters are optimized for distributed computing.
Technical Requirements
Big Data: Proactive experience with Hadoop and FDHS storage.
Processing: Spark/PySpark for large-scale data transformation.
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.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
