Job DescriptionRole Description:
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- n
- 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 recent 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 healthca

📌 Hiring: Data Engineer (India)
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📍 India