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

Robust 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 produ

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