Data Engineer (Intermediate)
Core
Design, build, and maintain scalable data pipelines and cloud data warehouses to support Investment and Corporate Banking units, specifically for Counterparty Credit Risk portfolio monitoring and automation.
Role type
Intermediate Data Engineer (Financial Services)
Builds
Post-origination portfolio monitoring applications, real-time reporting dashboards, and automated data workflows for Risk functions.
Domain
Financial Services / Banking / Credit Risk
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
MS SQL Server 2022, Azure Synapse Analytics, ETL pipeline design, Apache Spark, Databricks, data warehouse optimization, cloud migration, data governance, incident management
Preferred skills
Agile Scrum, data quality improvement, infrastructure scalability, automation of data tasks
Technologies
MS SQL Server 2022, Azure Synapse Analytics, Apache Spark, Databricks, Microsoft Azure
Responsibilities
Design and maintain scalable data pipelines for ingesting and transforming large volumes of data; Develop and maintain databases and data warehouses optimized for cloud deployment; Collaborate with risk analysts to gather requirements and deliver high-quality datasets; Optimize data delivery by redesigning infrastructure for scalability and efficiency; Implement data security, governance, and compliance standards; Monitor and troubleshoot data systems to ensure integrity and performance; Manage release processes and participate in L3 production support.
Seniority
Intermediate, hands-on IC