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Tier-1 brand and Pune metro increase competition, but senior, niche Tableau+AI requirement limits applicant pool.
Core Tableau, Oracle and ETL skills transfer across industries, but investment-banking domain preference raises sensitivity.
Explicit 10–12 years, mandatory Tableau/Oracle/AI skills and VP-level expectations make filters stringent.
Lead design, development, and maintenance of enterprise-scale Tableau dashboards supporting executive reporting and analytics storytelling.
Develop and maintain end-to-end data pipelines and integrations across multiple data sources, ensuring data consistency, performance optimization, and troubleshooting across systems.
Drive AI-assisted BI development using tools like GitHub Copilot, LLMs, and RAG to improve developer productivity and innovate engineering processes.
10–12 years of experience in Business Intelligence development with strong expertise in Tableau and Oracle SQL/PLSQL.
Hands-on experience with AI-assisted development tools such as GitHub Copilot, AI agents, LLMs, and related frameworks is mandatory.
Proficiency in Tableau Server/Cloud operations, API integrations, and ability to handle large scale datasets.
Work Experience Required: 10–12 years in BI/Tableau and Oracle development.
Experienced in building complex, high-performance, and interactive Tableau dashboards with deep knowledge of advanced Tableau features and data modeling.
Familiar with AI integration in BI workflows and adept at applying AI for code generation, debugging, and productivity enhancements.
Demonstrates ability to manage cross-functional enterprise data engineering tasks including data lineage, troubleshooting, and performance tuning, preferably with exposure to investment banking or credit risk domain.