Scrum Master

Randstad
Jersey City, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 150K

Job location

Jersey City, United States of America

Tech stack

Business Logic
Big Data
Program Optimization
Distributed Systems
Hadoop
Spark
PySpark
Information Technology

Job description

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., * 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., 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.

Requirements

Experience: 5-8 Years

Education: B.S. in Computer Science (Required), education: Bachelors

responsibilities:

Experience: 5-8 Years

Education: B.S. in Computer Science (Required), * 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)

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