Lead Data Engineer (Data Cloud) (Noida)

• Lead Data Engineer (Data+cloud) (Noida)
• Company: Curitics Health
• Job Location: Noida, Uttar Pradesh, India
• Employment Type: Full-time
• Salary: 35,00,000 - 40,00,000 per year
• About the Role

We are looking for a Data Engineer (Data & Cloud) to design, build, and operate large-scale, data-intensive systems in a healthcare domain. This role is heavily focused on data engineering, cloud infrastructure, and high-volume data movement , with hands-on ownership of backend services, pipelines, and storage systems.

• This is a hands-on Lead role with opportunities to influence architecture, data strategy, and engineering best practices.
• ey Responsibilities
• Data & Backend Engineering
• Design, build, and maintain data-heavy backend systems for ingestion, processing, validation, and transformation of large healthcare datasets.
• Implement high-volume data transfer pipelines (batch and near-real-time) across internal systems, external partners, and cloud storage.
• Develop scalable backend services primarily using Python , following clean architecture and performance-first principles.
• Cloud & AWS Architecture
• Build and operate systems on AWS , leveraging services such as S3, RDS (PostgreSQL), Lambda, ECS/Fargate, SQS/SNS, Glue, Athena, and CloudWatch .
• Design cloud-native solutions with a focus on scalability, reliability, fault tolerance, and cost optimization .
• Support serverless and containerized workloads for data processing and backend services.
• Database & Data Storage
• Own PostgreSQL schema design, query optimization, indexing strategies, and performance tuning for very large tables.
• Work with analytical/data-warehouse-style workloads , including reporting, aggregations, and historical snapshots.
• Ensure data integrity, consistency, and lifecycle management across operational and analytical stores.
• Data Security & Compliance
• Implement secure data handling practices including encryption at rest and in transit , access controls, and auditability.
• Work within healthcare data compliance expectations (HIPAA-aligned practices preferred).
• Ensure secure handling of PHI/PII across pipelines and services.
• Observability & Reliability
• Implement logging, monitoring, and alerting using tools like CloudWatch, Sentry, and custom metrics .
• Debug and resolve complex production issues related to data processing, performance, and scalability.
• Collaboration & Continuous Improvement
• Work closely with DevOps, Data Engineering, QA, and Product teams to deliver reliable systems.
• Participate in architectural discussions, code reviews, and technical decision-making.
• Mentor junior engineers and promote best practices in data and backend engineering.
• Compensation: 3,500,000.00 - 4,000,000.00 per year
• Benefits :
• Flexible schedule
• Food provided
• Health insurance
• Leave encashment
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund
• Work from home
• Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida) .