Senior Full Stack Data Engineer About the Role

Apollo Home Healthcare is 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 Strong 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:

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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