Core Data Platform Engineer (Software)

SRI Conference; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Goldman Sachs is seeking a Senior Developer to join the Core Data Architecture Engineering team. You will work with a global team to build and optimize data platform solutions, using Java, Python, Spark, and cloud technologies to serve diverse firm-wide use cases.

You will mentor juniors and drive end-to-end SDLC activities, including design reviews and production migrations. You will apply deep knowledge of data systems, distributed computing, and performance metrics to ensure high availability

Qualifications

• Bachelor's degree in a technical field.
• 3-5 years' experience in a large investment or retail bank or financial institution.
• Strong programming foundations in data structures, algorithms and software design.
• Experience with multiple languages and learning proprietary software.
• Knowledge of distributed computing and SDLC lifecycle.

Responsibilities

• Senior Developer on large projects with a global team of data platform engineers.
• Tune performance to optimize memory and CPU usage.
• Leverage firm Data Platform capabilities across domains as SME.
• Develop front-end UI support for firm-wide use cases.
• Build software for calculations using Snowflake, Sybase IQ and HDFS.
• Oversee junior engineers through SDLC including design, code reviews and deployments.

Skills

Scala

Java

Python

Spark

Linux

Shell scripting

TDD

Maven/Gradle/Ant

AWS

SDLC

SQL/Databases

Slang/SECDB

Education

Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline

Tools

Snowflake

Sybase IQ

HDFS

Job description

Goldman Sachs is seeking a Senior Developer to join the Core Data Architecture Engineering team. You will work with a global team to build and optimize data platform solutions, using Java, Python, Spark, and cloud technologies to serve diverse firm-wide use cases.

You will mentor juniors and drive end-to-end SDLC activities, including design reviews and production migrations. You will apply deep knowledge of data systems, distributed computing, and performance metrics to ensure high availability