We are looking for a Full Stack Data Engineer to design, build, and scale our core data infrastructure and engineering platforms.

This is an engineering-first role — not limited to reporting or analytics engineering. You will work across data pipelines, backend systems, cloud infrastructure, integrations, platform reliability, and AI-ready data foundations.

The ideal candidate is a hands-on engineer who can independently make technical decisions, build production-grade systems, troubleshoot complex issues, and drive projects from design to implementation with minimal supervision.

What You'll Do

- Design and build scalable batch and real-time data pipelines.
- Develop and maintain cloud-native data platforms and ETL/ELT workflows.
- Build robust backend APIs, integrations, and microservices.
- Design event-driven and queue-based architectures for high-volume data processing.
- Enable operational, analytical, and AI use cases through scalable data architecture.
- Implement data quality, governance, observability, monitoring, and reliability practices.
- Optimize data pipelines and infrastructure for performance, scalability, and cost.
- Troubleshoot production issues, perform root-cause analysis, and drive incident resolution.
- Collaborate with product, operations, analytics,



and leadership teams.
- Mentor junior engineers and contribute to engineering standards and best practices.

Must-Have Technical Skills

Data Engineering

Strong hands-on experience with:

- Python & SQL
- Apache Spark / PySpark
- Apache Airflow
- Apache Kafka
- Google Pub/Sub
- Message queues such as RabbitMQ, ActiveMQ, IBM MQ, or equivalent
- Snowflake, BigQuery, or Redshift
- PostgreSQL / MySQL

Strong understanding of

- ETL / ELT architecture
- Batch and streaming data processing
- Data modeling
- CDC pipelines
- Schema evolution
- Data quality frameworks
- Distributed systems
- Parquet, Delta Lake, or Apache Iceberg

Backend & Platform Engineering

Hands-on experience building production-grade backend systems using:

- REST APIs
- FastAPI / Flask / Node.js
- Microservices architecture
- Asynchronous processing
- Queue-based and event-driven systems
- Docker & Kubernetes
- CI/CD pipelines
- GitHub Actions / Jenkins
- Basic Terraform

Cloud & Infrastructure

Robust experience with at least one major cloud platform:

- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)

Note :- Must have experience working in health care domain

📌 Full Stack Data Engineer (Hyderabad)
🏢 Capital Numbers
📍 Hyderabad