Role Description

Data Engineer AWS-Native, Event-Driven Annuity Reinsurance Platform Role Overview We are seeking a Data Engineer to build and support the data foundation of a next-generation AWS-native annuity reinsurance platform. This role will focus on scalable data pipelines, canonical data models, event-driven processing, reporting datasets, audit repositories, and integrations supporting contracts, transactions, funds, treaties, cessions, billing, analytics, and future AI capabilities. Key Responsibilities Data Engineering & Architecture Design and maintain canonical data models for contracts, transactions, funds, treaties, cessions, billings, and reporting. Define data standards, metadata, governance, lineage, and source-to-target mappings. Build scalable operational and analytical data structures. Data Pipeline Development Develop batch, API, and event-driven ingestion frameworks. Integrate data from policy administration, reinsurance, finance, TPA, partner, and market data systems. Implement transformation, validation, reconciliation, error handling,



and recovery processes. AWS Data Engineering Design and implement solutions using: S3, Glue, Redshift Aurora PostgreSQL, DynamoDB Lambda, EventBridge, SNS, SQS, Step Functions Lake Formation, DataZone, OpenSearch Ensure scalability, security, compliance, and operational efficiency. Event-Driven Processing Support real-time data flows through: Event schema design Event publishing and consumption Replay capabilities Dead-letter management Idempotent processing Data Quality & Governance Implement data quality frameworks and validation rules. Support reconciliation, duplicate detection, lineage, and audit tracking. Manage reference and master data controls. Reporting & Analytics Build datasets supporting: Placement, billing, cession, and operational reporting Audit and compliance reporting KPI dashboards and trend analysis AI Readiness Support AI-enabled capabilities through: Searchable enterprise datasets Metada

📌 Lead II (Bengaluru)
🏢 UST
📍 Bengaluru