Compliance-Hyderabad-Associate - Data Engineering

• Assesses the firm's compliance, regulatory and reputational risk
• Monitors for compliance with new or amended laws, rules and regulations
• Designs and implements controls, policies, procedures and training
• Conducts independent testing
• Leads the firm's response to regulatory examinations, audits and inquiries

Compliance Engineering empowers these activities by building and operating a suite of software platforms and applications. We are a team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We have access to the latest technology and to massive amounts of structured and unstructured data. We leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications, incorporating cutting-edge AI and efficient processes to drive them.

ROLES & RESPONSIBILITIES
As a Big Data Engineer, you will:
• Design, develop and maintain data pipelines and anomaly detection models which process huge volumes of trading and trade related data.
• Be instrumental in
o Providing technical direction to leverage the most relevant technologies for the different business use cases.
o Work towards adapting of the most optimal technologies as well as improving the adoption of the latest technologies across engineering teams.
o Driving Quality: implementing processes and procedures to maximize the overall quality of software
o Execution: Defining key milestones, resourcing & timelines
• Develop an understanding of evolving regulatory frameworks & leverage cutting edge technologies to manage firm regulatory and reputational risk
• Be a technical lead, develop and drive the institutionalization of best practices around coding, testing - scalability, stability and quality, code reviews and operational readiness across the teams
• Collaboration with Local & Global teams allowing for technical discussions, decision making, driving standard code architecture and identifying potential blockers at an early stage
• Have an opportunity to work on a broad range of problems, including negotiating data contracts and capturing data quality metrics
TECHNICAL SKILLS AND QUALIFICATION
• MBA or Bachelor/ Master's degree in Computer Science, Computer Engineering, or a similar field of study.
• 7+ years' experience in software development
• Experience in developing and designing end-to-end solutions to enterprise standards including automated testing and SDLC.
• Ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.
• Experience with one or more of ; Java, Spark, Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes
• Expertise in Java or any other Object-Oriented Language, as well as proficiency with databases and data manipulation
• Data analysis using tools such as SQL, Spark SQL, Zeppelin/Jupyter

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