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# Senior Data Disposition & Migration Intelligence Engineer

- **Company:** Wipro Limited
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $60,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Static Program Analysis, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Database Schema, Github, Identity and Access Management, Python (Programming Language), Knowledge Management, Microsoft SQL Server, Windows PowerShell, Search Technologies, SQL Stored Procedures, Delivery Pipeline, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AngularJS
- **Published:** August 23, 2026
- **Apply:** https://www.careerjet.com/job/us0877f76f12f4f7a91707baa5e8a4db2f/eaa

## About the Role

Senior practitioner who combines deterministic data engineering with Bedrock-powered AI reasoning to accelerate a large-scale multi-tenant consolidation. You turn automated signals - schema drift, source-only tables, ID collisions, and static-analysis findings - into defensible disposition decisions grounded in dependency chains (stored procedures, application code, ETL, batch jobs). You also productionize the toolchain on AWS: RAG through CI/CD, knowledge capture, and a guardian pattern that validates every model output before it reaches reviewers or migration teams., Required
8+ years in data engineering, platform migration, or enterprise modernization (financial services preferred).
Production experience with Amazon Bedrock and core AWS services (not exploratory POCs).
Large-scale SQL Server dependency analysis and schema reconciliation.
Hands-on ETL/batch consolidation (Informatica or equivalent).
CI/CD integration and LLM output validation in production workflows.
Preferred
Multi-tenant consolidation, tenant discriminators, feature entitlements.
Code graph / static analysis (Roslyn, OpenRewrite, CodeQL, custom analyzers).
Guardian patterns for LLM outputs; Python/PowerShell report pipeline automation.
Mandatory Skills: Data Analysis .
Experience: 5-8 Years .

## Description

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Search Jobs, Senior Data Disposition & Migration Intelligence Engineer
Key Skills Required
Must-have (prioritize candidates with depth in these areas):
Priority
Skills Critical - Amazon Bedrock - model selection, prompt design, Knowledge Bases, retrieval-augmented generation (RAG), guardrails, and production inference patterns
Critical - AWS platform - CI/CD (CodePipeline / GitHub Actions on AWS), Lambda, Step Functions, OpenSearch (vector search), Neptune or graph storage, Secrets Manager, S3 artifact pipelines, IAM, and cost/scale design
Required
SQL Server at scale - stored procedure dependency tracing, cross-database schema reconciliation, RLS / SESSION_CONTEXT
Dispositioning & triage - turning automated outputs (schema drift, source-only tables, static-analysis findings) into auditable, dependency-backed decisions
ID de-collision analysis - overlapping ID ranges, true collisions vs. co-mingled data, table-level resolution
ETL / batch consolidation - Informatica (or equivalent), migration script quality, tenant-scoped batch jobs
LLM output validation - guardian / evaluation patterns, golden-set regression, confidence thresholds
Code literacy (.NET, Java, Angular, Python); static analysis & SARIF; financial-services consolidation experience


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