Scrum Master

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.

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)