Data Engineer - Financial Crimes - Associate
Core
Design, develop, and maintain PySpark-based ETL frameworks and data pipelines for financial crimes detection and analysis.
Role type
Associate-level Data Engineer (Financial Crimes)
Builds
Robust ETL frameworks, data models, and data pipelines for financial services clients
Domain
Financial Services / Big Data Engineering
Deliverable
production ML models
Required skills
PySpark, Python, SQL, Relational Databases, Data Modeling, Troubleshooting, Distributed Systems
Preferred skills
Graph Database (Stardog), Autosys, Data Modeling Tools (Power Designer), Linux Shell, Java Development, Data Quality Rules
Technologies
PySpark, Python, SQL, Stardog, Autosys, Power Designer, Linux
Responsibilities
Design and implement PySpark ETL frameworks with error handling; Perform data enquiry and analysis in relational and big data environments; Translate business requirements into data models; Troubleshoot data issues and provide L3 production support; Use AI-enabled tools for data mapping and lineage creation.