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Bangalore Goldman Sachs Hiring for Software Engineering Analyst 2025!!!

Goldman Sachs announced job vacancy for the post of Software Engineering Analyst. The place of posting will be at Bangalore. Candidates who have completed Graduate / Post Graduate with Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	Goldman Sachs
Required Qualifications	Graduate / Post Graduate
Skills	Java, Spark, Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes
Division	Compliance Division
Official Website	goldmansachs.com

Compliance Engineering empowers these activities by building and operating a suite of software platforms and applications. They 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. They leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications, incorporating cutting-edge AI and efficient processes to drive them.

Θ Positions: Software Engineering Analyst

Θ Job Location: Bangalore

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: 135723

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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