Vice President - Data Engineering

Goldman Sachs Services Pvt Ltd; Bengaluru; On-site; INR 4,200,000 - 7,500,000; Full time

Job summary

Goldman Sachs is seeking a Vice President of Data Engineering in Bengaluru to lead the data platform initiatives within Transaction Banking Technology. You will develop, test, and roll out data platform features, working across Java/Scala/Python services with Kafka, Airflow, and cloud components.

You will drive architecture, align with the data & analytics team, and ensure data quality and timeliness for critical liquidity analytics and reporting use cases.

Qualifications

• 10+ years hands-on with data processing frameworks (Hadoop, Spark, Airflow, Flink) and languages (Java/Scala/Python).
• 5+ years production experience with Kafka, Kinesis or equivalent.
• BS or higher in Computer Science (or equivalent work experience).

Responsibilities

• Develop, test and rollout data platform features for the data engineering stack.
• Contribute to the vision and roadmap of the data platform.
• Collaborate with data, software, and business teams to deliver scalable data solutions.

Skills

Java/Scala/Python

Hadoop

Spark

Airflow

Flink

REST

GraphQL

Education

BS in Computer Science

Tools

Kafka

Kinesis

PostgreSQL

AWS

Snowflake

Terraform

Job description

GBM - Transaction Banking Technology - Bengaluru - Vice President - Data Engineering

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 our Technology Division and global strategist groups, 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.

Who We Look For

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.

Transaction Banking

Transaction Banking, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 148-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency.

The Team

Data & Analytics Platform is a global engineering team with pods across New-York, London, Bangaluru, and Dallas. We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.

The Role

As part of our global team you will work on the data platform reporting to a Data Engineering Lead. Your role includes development, test 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 are expected to contribute to the vision and roadmap, and a 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 place. We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.

Basic Qualifications

• Minimum 10 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
• Minimum 5-year production experience with Kafka, Kinesis or equivalent
• Experience in REST and/or GraphQL
• Experience in working with data-bases – NoSQL and/or Relational. BS. or higher in Computer Science (or equivalent work experience)

Preferred Qualifications

• Experience with microservice architecture
• Experience with PostgreSQL
• Experience with AWS
• Experience with Snowflake
• Experience with Terraform
• Experience in Financial Services or Fintech

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 opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Experience Level

Executive Level