Overview
On Site
Full Time
Skills
Wealth Management
ARM
Finance
Data Engineering
Quantitative Research
Data Acquisition
Storage
Onboarding
Data Analysis
Asset Management
Quantitative Analysis
Computer Science
Agile
Management
Systems Engineering
Requirements Analysis
Testing
Acceptance Testing
Research
Production Support
Incident Management
Problem Management
Extract
Transform
Load
Software Development
Python
Java
Big Data
Apache Hadoop
Apache Spark
Distributed Computing
Database
SQL
PL/SQL
PySpark
Scala
Amazon Web Services
Snow Flake Schema
Cloud Computing
Shell Scripting
Unix
Linux
Git
Continuous Integration
Continuous Delivery
Software Development Methodology
Multitasking
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Job Details
Job Description
Goldman Sachs Asset & Wealth Management:
GSAM is the asset management arm of Goldman Sachs, which supervises more than $1.8 trillion in assets. Goldman Sachs Asset Management has been providing discretionary investment advisory services since 1988 and has investment professionals in all major financial centers around the world.
Our team of engineers in the Quant Data Engineering help support quantitative research and investment strategies through efficient data acquisition, transformation, and access. We build critical data pipelines to enable seamless ingestion, storage, and processing of vendor datasets of any size, format, or structure. QDE empowers researchers and portfolio managers by rapidly onboarding and productionizing datasets and providing distributed compute infrastructure (Spark/Dask) for large-scale data analysis .
We are seeking an associate Software Engineer for the Asset Management Division in our Quant Engineering team in Dallas.
Responsibilities and Qualifications
Skills and Experiences we are Looking For
Goldman Sachs Asset & Wealth Management:
GSAM is the asset management arm of Goldman Sachs, which supervises more than $1.8 trillion in assets. Goldman Sachs Asset Management has been providing discretionary investment advisory services since 1988 and has investment professionals in all major financial centers around the world.
Our team of engineers in the Quant Data Engineering help support quantitative research and investment strategies through efficient data acquisition, transformation, and access. We build critical data pipelines to enable seamless ingestion, storage, and processing of vendor datasets of any size, format, or structure. QDE empowers researchers and portfolio managers by rapidly onboarding and productionizing datasets and providing distributed compute infrastructure (Spark/Dask) for large-scale data analysis .
We are seeking an associate Software Engineer for the Asset Management Division in our Quant Engineering team in Dallas.
Responsibilities and Qualifications
- Bachelor's or Master's degree in Computer Science or related technical discipline.
- Work in an Agile environment managing end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance
- Work in a dynamic, fast-paced environment that provides exposure to big data platform and research
- Able to contribute towards Production Support and Maintenance of data platform including incident management, troubleshooting ,alert monitoring and problem management
Skills and Experiences we are Looking For
- 2-5 years' experience working as a data engineer with hands on experience building ETL pipelines.
- Knowledge in software development, design and core programming concepts in at least one of these languages: Python, Scala, Java
- Expertise in Big data technologies using Hadoop, Spark and distributed computing
- In-depth knowledge of relational and columnar SQL databases with SQL, PLSQL querying skills
- Strong programming experience in at least Pyspark or Scala
- Knowledge of AWS, Snowflake cloud technology would be a plus
- Experience in shell scripting in Unix or Linux environments.
- Experience working in a git-based CI/CD SDLC environment.
- Comfortable multi-tasking, open to learning new technologies and working as part of a global team.
- Strong problem solving and analytical skills with excellent communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.