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.

Pay: ₹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)

📌 Lead Data Engineer (Data+cloud) (Noida)
🏢 Curitics Health
📍 Noida