Compliance - Associate - Software Engineering

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
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
TECHNICAL SKILLS & QUALIFICATIONS
MBA or Bachelor/ Master's degree in Computer Science, Computer Engineering, or a similar field of study.
4+ 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