Senior Full Stack Data Engineer

Indigrators; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Apollo Home Healthcare is hiring a senior-level Full Stack Data Engineer to build and scale the organization’s core data infrastructure. The role focuses on end-to-end data architecture, scalable pipelines, backend integrations, platform reliability, and AI-ready data foundations across healthcare operations.

The ideal candidate will lead technical decisions, operate independently, and drive execution with minimal supervision while mentoring juniors and aligning with product and leadership teams.

Qualifications

• Strong hands-on experience in Python, SQL and Spark/PySpark.
• Proficient in building batch and real-time data pipelines and cloud-native data platforms.
• Experience with ETL/ELT, data modeling, data quality and governance.
• Ability to design production-grade backend systems and integrate with APIs.
• Familiarity with distributed systems, event-driven architectures, and monitoring.

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 AI-ready data foundations and governance across operations.
• Drive data quality, observability, and production reliability.
• Mentor engineers and drive engineering standards.
• Collaborate with product, operations, analytics, and leadership.

Skills

Python

SQL

Spark PySpark

Airflow

Kafka

Google Pub/Sub

Message Queues

dbt

Data Warehouses

REST APIs

FastAPI Flask Node.js

Docker

GitHub Actions Jenkins

Terraform basics

Cloud Platforms

IAM and security

Monitoring and Observability

Serverless architectures

Education

B.Tech / BE in CS / IT or equivalent

IITs, NITs, BITS, IIITs or top-tier engineering institutes

Tools

Docker

GitHub Actions

Jenkins

Terraform

Job description

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

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

Strong understanding of:

• Batch and streaming systems
• Data modeling
• Data quality frameworks
• Distributed systems

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

Expected experience in:

• REST APIs
• FastAPI / Flask / Node.js
• Queue-based systems
• Event-driven architectures
• Docker
• GitHub Actions / Jenkins
• Terraform basics

Strong experience in at least one cloud platform:

• Experience with enterprise networking and infrastructure environments including Juniper ecosystems is preferred

Expected capabilities:

• IAM and security
• Monitoring and logging
• Production reliability
• Serverless and scalable architectures

AI & Analytics Readiness

Preferred exposure to:

• Real-time analytics
• Semantic layers

Preferred Background

Strong preference for candidates from:

• 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
• 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 teams