Data Engineering - Analyst/Associate - Global Banking & Markets

Job Description

WHAT WE DO

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with

ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software

and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial

engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires

innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

About Franchise Data Engineering

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing

the platform, processes and governance, for enabling the availability of clean, organized and impactful data to scale, streamline and empower our core

businesses.

Franchise Data Engineering is a team within the Global Banking & Markets (GBM) division responsible for building data pipelines and curating data

specifically for GBM CFO and Capital Management teams. Franchise Data Engineering team design, build and re-engineer scalable and resilient data

solutions that propel the Global Banking & Markets Division’s efforts around PnL analytics and Capital optimization which is leveraged by Division Heads

and Executive Office. Team engages with stakeholders across all business lines of GBM to understand the data, workflows and analyze processes that

are critical for driving strategic commercial outcomes and then develop/iterate on the deployment of high-quality data solutions that empower those efforts.

Our engineers collaborate closely with businesses to ensure their data needs are met and we react quickly to new demands by rapidly evolving our

solutions.

How You Will Fulfill Your Role

The Analyst/Associate Role (1-4 years of experience) involves dynamically collaborating across business and engineering teams, translating

business problems into detailed data specifications and then designing, building and deploying scalable relational data models which would serve

as the source for business user's/consumer's analytical use cases. The role requires end-to-end skills in data engineering, ETL, data modeling,

distributed databases, math/logic and a good grasp SDLC best practices along with Data Governance aspect. In the course of building this data

solution, the engineer will benefit from and be required to learn financial data engineering as it is performed at a top tier financial firm.

Skills And Experience We Are Looking For

• Academic Qualifications: A Bachelors or Masters degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
• 1-4 years of relevant work experience in a global team-oriented environment
• Strong object-oriented design and hands on experience in one of programming languages (such as Java, Python, C++) using Object Oriented design techniques and best practices.
• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
• In-depth knowledge of relational and columnar SQL databases, including database design
• Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL modeling, milestoning, indexing, partitioning)
• Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts and gather business requirements
• Independent thinker, willing to engage, challenge or learn
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Strong work ethic, a sense of ownership and urgency
• Strong analytical and problem solving skills
• Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
  
  

Preferred Qualifications

• Industry Experience in Data engineering.
• Exposure to cloud databases (such as Snowflake, Single Store).
• Exposure to cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform).
• Experience with programming for extract transform load (ETL) operations and data analysis.
  
  

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity