Job DescriptionRole Description: Nn Cloud Infrastructure Architecture (AWS) N Architect, deploy, and manage scalable AWS data infrastructure including Redshift, S3, Lambda, IAM, VPC, and related services N Define and enforce infrastructure-as-code standards and CI/CD practices for all data platform components N Monitor infrastructure health, optimize performance, and drive cost efficiency across cloud resources N Ensure high availability and disaster recovery posture for all critical data systems N Manage multi-account AWS environments with cross-account IAM roles, VPC peering, and environment-specific security boundaries (dev, test, production) N Data Warehouse Design &Development; N Architect and evolve the organization's Redshift data warehouse using dimensional modeling (Kimball methodology) and star schema best practices N Architect and engineer the dbt project end-to-end: data modeling, testing, documentation, and deployment via Jenkins across development, testing, and production environments N Write complex, optimized SQL and Python to build and maintain production data models, snapshots, and incremental loads N Establish and enforce data modeling standards, naming conventions, and development workflows N Data Pipelines & Integrations N Design and build robustELT/ETL pipelines using custom Python and managed connectors via Fivetran N Manage third-party dataintegrations including SaaS platforms, APIs, and partner data feeds N Implement pipeline observability, alerting, and data quality frameworks to ensure reliable data delivery N Evaluate and adopt new ingestion tools and patterns as the data ecosystem evolves N Data Security & Compliance N Own data platform security including IAM roles and policies, Redshift access controls, encryption at rest and in transit, and network security (VPC, security groups)



in partnership with Infrastructure N Ensure compliance with HIPAA, SOC 2, and applicable healthcare data privacy regulations N Conduct regular access reviews, security audits, and vulnerability assessments of the data ecosystem N Partner cross-functionally to implement and maintain data governance standards N Design, implement and maintain PII anonymization pipelines to provision safe, production-representative data to development and test environments N Identify and automate recurring compliance workflows (e.G., data deletion requests) to ensure consistent adherence to GDPR and other applicable privacy regulations at scale N Platform Reliability & Availability N Define and maintain SLAs for the data platform, proactively identifying and resolving availability risks N Lead incident response and root cause analysis for data platform outages or degraded performance N Build and maintain runbooks, architecture documentation, and operational playbooks N Lead legacy system migrations with minimal disruption, including data warehouse migrations, pipeline platform transitions, and infrastructure modernization initiatives N Technical Leadership & Collaboration N Serve as a technical mentor and escalation point for data analytics and AI/ML engineering team members N Collaborate with Data Analytics, AI/ML Engineering, Infrastructure, Product, and Software Engineering teams to align infrastructure with roadmap priorities N Contribute to architecture reviews and technology evaluations N Developer Experience & Tooling N Build and maintain internal developer tooling to automate operational tasks (e.G., permission management, setting provisioning, data sanitization) N Establish and enforce code quality standards including linting, formatting, and review workflows across data platform repositories N

📌 Data Engineer - Contract (Mail At Nirmal.Francis@ (Chennai)
🏢 Inspire
📍 Chennai