Data Engineer
Core
Design, develop, and optimize data pipelines, integrations, and analytics solutions for operational reporting and regulatory compliance.
Role type
Data Engineer
Builds
Enterprise data products, ETL pipelines, analytics platforms, and reporting solutions
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Java, relational databases, ETL processes, data transformation, data quality controls, API integrations, file-based exchanges, enterprise platforms, data modeling, operational monitoring, troubleshooting, risk and regulatory standards adherence
Preferred skills
Power BI, cloud platforms, containers, DevOps practices, Git, workflow automation tools, system design, infrastructure design technologies, complex application development
Technologies
Python, SQL, Java, Power BI, Git
Responsibilities
Design and develop data pipelines and ETL processes; Create and maintain data models and data quality controls; Support development of dashboards and reporting solutions; Troubleshoot data issues and performance bottlenecks; Interact with business partners to translate requirements into technical solutions; Adhere to company risk, regulatory, and internal control standards
Seniority
Mid-level, hands-on IC
