
Compliance Engineering - Data Eng - Big Data - Software Engineering - Associate
at Goldman Sachs
Posted 11 days ago
No clicks
- Compensation
- Not specified
- City
- Hyderabad
- Country
- India
Currency: Not specified
Join Goldman Sachs' Compliance Engineering team in Hyderabad as an Associate focusing on Data Engineering and Big Data. You will develop mission-critical software using technologies like Java, Spark, Hadoop, Flink, Kafka, and related tools to build platforms that prevent, detect, and mitigate regulatory and reputational risk. You will partner with sponsors and engineers across divisions to deliver end-to-end solutions, covering the full software life cycle from design to deployment, and work on processing large-scale data, data contracts, and data quality metrics. This role offers exposure to cutting-edge data architectures and a collaborative, global engineering environment in the finance sector.
YOUR IMPACT
Are you passionate about developing mission-critical, high-quality software solutions, using cutting-edge technology, in a dynamic environment?
OUR IMPACT
We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems.
We:
· Build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm.
· Have access to the latest technology and to massive amounts of structured and unstructured data.
· Leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications.
HOW YOU WILL FULFILL YOUR POTENTIAL
As a member of our team, you will:
· Partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions
· Learn from experts
· Leverage various technologies including; Java, Spark, Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes
· Be able to innovate and incubate new ideas
· Have an opportunity to work on a broad range of problems, including negotiating data contracts, capturing data quality metrics, processing large scale data, building surveillance detection models
· Be involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software systems across our products.
QUALIFICATIONS
A successful candidate will possess the following attributes:
- A bachelor’s or master’s degree in computer science, Computer Engineering, or a similar field of study.
2. Expertise in java, as well as proficiency with databases and data manipulation.
3. Experience in end-to-end solutions, automated testing and SDLC concepts.
4. The ability (and tenacity) to clearly express ideas and arguments in meetings and on
paper.
Experience in some of the following is desired and can set you apart from other candidates:
· Developing in large-scale systems, such as MapReduce on Hadoop/Hbase, data analysis using tools such as SQL, Spark SQL, Zeppelin/Jupyter,
· API design, such as to create interconnected services, knowledge of the financial industry and compliance or risk functions, ability to influence stakeholders
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit to 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.












