Python with AI Engineering - Vice President
Core
Design, develop, and optimize scalable data pipelines and AI-driven solutions to transform raw data into actionable insights for strategic decision-making in the finance domain.
Role type
Senior Lead Data Engineer (AI/Agentic AI focus)
Builds
High-performance data pipelines, ETL/ELT processes, and AI-powered productivity tools
Domain
Finance / Data Engineering / AI Engineering
Deliverable
production ML models | infrastructure
Required skills
Oracle SQL/PL/SQL, Python, Autosys, Unix/Linux, CI/CD, Data Warehousing, ETL/ELT, Kafka/Solace, Agentic AI frameworks, Prompt Engineering, Chunking, Embedding
Preferred skills
PostgreSQL/SQL Server, AWS/Azure/GCP, Spark/Hadoop, Production ML model deployment
Technologies
Oracle, Autosys, Python, Unix/Linux, Kafka, Solace, AWS, Azure, GCP, Spark, Hadoop
Responsibilities
Design and optimize scalable data pipelines; Develop complex SQL scripts for ETL; Implement automation workflows using Autosys; Manage data processes in Unix/Linux environments; Contribute to CI/CD pipelines; Integrate Agentic AI frameworks to enhance productivity; Troubleshoot data issues and perform root cause analysis; Provide technical guidance to junior team members.
Seniority
Senior, hands-on IC with leadership responsibilities
