At a Glance
- Tasks: Develop and test data platform features using Java and Python.
- Company: Goldman Sachs is a leading global investment banking and securities firm.
- Benefits: Enjoy diverse opportunities for growth, wellness programs, and a commitment to inclusion.
- Why this job: Join a fast-paced team solving real-world problems with cutting-edge technology.
- Qualifications: 2+ years in programming, preferably Java; BS in Computer Science or related field.
- Other info: Work on critical projects that impact financial services and community transformation.
The predicted salary is between 43200 - 72000 £ per year.
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.
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here.
Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital.
Within TxB, Data & Analytics Platform is a global engineering team responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.
Who We Look For
As part of our global team, you will work on the data platform reporting to a Data Engineering Lead. Your role includes development, testing, and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems.
You will be able to contribute to our vision, roadmap, and world-class engineering culture, while integrating business value and client experience within the team. This initiative is of critical importance to the success of the organization and our roadmap. Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market.
We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.
HOW YOU WILL FULFILL YOUR POTENTIAL
- Develop full stack applications with due consideration to security, design, validation and SDLC framework
- Collaborate with product managers, business operations, engineers to define product requirements, objectives
- Participate in system design consulting, platform management
- Develop resilient, scalable and secure modules using cloud native services
- Manage multiple tasks and use sound judgment when prioritizing
- Update and maintain documentation for team processes, best practices and software runbooks
- Must be passionate about technology and engineering
- Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions
BASIC QUALIFICATIONS
- 2+ years of relevant professional experience using a modern programming language (preferably Java)
- BS degree in Computer Science or related technical field involving programming or systems engineering.
- Proficiency in development with Java, springboot, REST APIs
- Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization
- Proficiency with algorithms, data structures and software design
- Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking
- Proven to work independently in a fast paced and often multi-direction work environment
PREFERRED QUALIFICATIONS
- Experience with development and design of distributed systems
- Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB)
- Experience in financial services specifically corporate cash management desirable
- Experience with AWS services – Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay
- Comfort with Agile operating models (practical experience of Scrum / Kanban)
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.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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Software Engineer, Transaction Banking, Data & Analytics Platform Dallas, Texas, United States [...] employer: Goldman Sachs Group, Inc.
Contact Detail:
Goldman Sachs Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Transaction Banking, Data & Analytics Platform Dallas, Texas, United States [...]
✨Tip Number 1
Familiarize yourself with the technologies mentioned in the job description, especially Java, Python, and AWS services. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any experience you have with data engineering and analytics. Be prepared to discuss specific projects where you've developed data-intensive applications or worked with distributed systems.
✨Tip Number 3
Showcase your problem-solving abilities by preparing examples of how you've tackled complex engineering challenges in the past. This aligns well with Goldman Sachs' focus on innovation and creativity.
✨Tip Number 4
Network with current or former employees of Goldman Sachs, especially those in the Data & Analytics Platform team. They can provide valuable insights into the company culture and the specific skills that are highly valued.
We think you need these skills to ace Software Engineer, Transaction Banking, Data & Analytics Platform Dallas, Texas, United States [...]
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Software Engineer position in Transaction Banking. Familiarize yourself with the technologies mentioned, such as Java, Python, AWS services, and data engineering concepts.
Tailor Your Resume: Customize your resume to highlight relevant experience and skills that align with the job description. Emphasize your proficiency in Java, experience with cloud-native services, and any work you've done in financial services or data analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and engineering. Discuss specific projects where you've developed scalable applications or worked with data-intensive systems, and explain how your background makes you a great fit for Goldman Sachs.
Highlight Soft Skills: In addition to technical skills, emphasize your communication abilities and experience working in fast-paced environments. Provide examples of how you've collaborated with cross-functional teams to deliver high-quality software solutions.
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Java, Python, and any relevant frameworks like Spring Boot. Highlight specific projects where you developed full stack applications or worked with data-intensive capabilities.
✨Demonstrate Problem-Solving Abilities
Goldman Sachs values innovators and problem-solvers. Prepare examples of challenges you've faced in previous roles and how you approached them, especially in a fast-paced environment.
✨Understand the Business Context
Familiarize yourself with transaction banking and how data analytics can transform financial services. Be ready to discuss how your technical skills can contribute to business goals and client experiences.
✨Communicate Effectively
Excellent communication skills are crucial. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with product managers and business operations teams.