We are hiring a senior-level Full Stack Data Engineer to build and scale the organization’s core data infrastructure.

This role requires a strong engineering-first mindset. The expectation is not limited to reporting or analytics engineering. The individual will own end-to-end data architecture, scalable pipelines,

backend integrations, platform reliability, and AI-ready data foundations across healthcare operations.

The ideal candidate should be capable of operating independently, leading technical decisions,

handling production-scale systems, and driving execution with minimal supervision.

Key Responsibilities

- Design and build scalable batch and real-time data pipelines
- Build and maintain cloud-native data platforms
- Develop reliable ETL/ELT workflows across multiple systems
- Create robust backend integrations and APIs
- Enable operational, analytical, and AI use cases through clean data architecture
- Drive data quality, governance, observability, and monitoring
- Optimize pipeline performance, scalability, and cost
- Handle production debugging and incident resolution
- Mentor junior engineers and drive engineering standards
- Collaborate with product, operations, analytics, and leadership teams

Mandatory Technical Skills

Data Engineering

Robust hands-on experience in:

- Python
- SQL
- Spark / PySpark
- Airflow
- Kafka
- Google Pub/Sub
- Message Queue systems (RabbitMQ / ActiveMQ / IBM MQ or equivalent)
- dbt
- Snowflake / BigQuery / Redshift
- PostgreSQL / MySQL

Strong understanding of:

- ETL / ELT architectures
- Batch and streaming systems
- Data modeling
- CDC pipelines
- Schema evolution
- Data quality frameworks
- Distributed systems
- Parquet / Delta Lake / Iceberg

Backend & Platform Engineering





Must be comfortable building production-grade backend systems and integrations.

Expected experience in:

- REST APIs
- FastAPI / Flask / Node.js
- Microservices architecture
- Async processing
- Queue-based systems
- Event-driven architectures
- Docker
- Kubernetes
- CI/CD pipelines
- GitHub Actions / Jenkins
- Terraform basics

Cloud Infrastructure

Strong experience in at least one cloud platform:

- AWS/ Azure/ GCP
- Experience with enterprise networking and infrastructure environments including Juniper ecosystems is preferred

Expected capabilities:

- IAM and security
- Monitoring and logging
- Infrastructure debugging
- Cost optimization
- Production reliability
- Serverless and scalable architectures

AI & Analytics Readiness

Preferred exposure to:

- ML/AI data pipelines
- Feature engineering workflows
- Vector databases
- LLM/RAG architectures
- Real-time analytics
- Semantic layers
- Operational dashboards

Preferred Background

Strong preference for candidates from:

- Product companies
- SaaS platforms
- High-scale startups
- Healthcare tech organizations
- Data platform teams
- Healthcare domain experience is strongly preferred.

Education Requirements

- B.Tech / BE in Computer Science, IT, or equivalent engineering disciplines.
- Candidates from strong engineering institutes preferred (IITs, NITs, BITS, IIITs, top-tier state engineering colleges)

What We Are Looking For The candidate should demonstrate:

- Robust ownership mindset
- Deep engineering fundamentals
- Ability to solve ambiguous problems independently
- Production-scale systems thinking
- High execution capability
- Strong debugging and troubleshooting skills
- Leadership and mentoring ability
- Clear communication with cross-functional team

📌 Senior Full Stack Data Engineer (Hyderabad)
🏢 Indigrators
📍 Hyderabad