Goldman Sachs - Big Data Engineer (7-11 yrs)

Note : If shortlisted, you will be invited for initial rounds on 1st March'25 (Saturday) in Bengaluru

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 :

- 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

- 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

- 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