Compliance Engineering empowers these activities by building and operating a suite of software platforms and applications. There are a team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. They have access to the latest technology and to massive amounts of structured and unstructured data. Goldman Sachs leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications, incorporating cutting-edge AI and efficient processes to drive them.
Name of the
Organization: Goldman Sachs
Requisition
ID: 135732
Positions: Compliance-
Analyst-Software Engineering
Location: Bangalore
Salary: As per
company Norms
Required
Skills & Qualifications:
- MBA or Bachelor/ Master's degree in Computer Science, Computer Engineering, or a similar field of study.
- 1+ 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
Roles &
Responsibilities:
- Design, develop and maintain data pipelines and anomaly detection models which process huge volumes of trading and trade related data.
- Be instrumental in
- Providing technical direction to leverage the most relevant technologies for the different business use cases.
- Work towards adapting of the most optimal technologies as well as improving the adoption of the latest technologies across engineering teams.
- Driving Quality: implementing processes and procedures to maximize the overall quality of software
- Develop an understanding of evolving regulatory frameworks & leverage cutting edge technologies to manage firm regulatory and reputational risk
- 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
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