Associate, Data Engineer
Core
Design, build, and maintain robust data infrastructure and scalable platforms enabling advanced analytics and machine learning for Investment Banking and Global Markets.
Role type
Associate Data Engineer
Builds
Scalable data pipelines, distributed processing solutions, and cloud-native data architectures for AI-enabled data products.
Domain
Financial Services (Investment Banking, Global Markets)
Deliverable
production ML models | infrastructure
Required skills
Python, Scala, Java, Spark, Kafka, distributed computing, stream processing, data modeling, database design, ETL, cloud deployment (AWS/Azure/GCP), containerization (Docker, Kubernetes)
Preferred skills
Generative AI, Agentic AI, financial domain knowledge (investment banking, trading strategies, time series data)
Technologies
Spark, Kafka, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and optimize scalable data pipelines for structured and unstructured data; Implement distributed data processing solutions; Ensure data integrity and high availability in mission-critical workloads; Model and design databases for advanced analytics and AI; Develop and maintain ETL processes; Deploy data infrastructure in cloud environments; Monitor and tune data processing applications for performance.
Seniority
Associate, hands-on IC
