Azure Integration & Data Engineer

Phigital Care; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Phigital Care is seeking an experienced Azure Integration & Data Engineer to design, develop, and maintain cloud-based integration solutions. The ideal candidate will have strong experience with Azure integration services and data workflows, crucial for effective system communication.

This role involves developing backend pipelines, transforming data formats, and ensuring reliable data processing while collaborating with data and analytics teams.

Qualifications

• 3+ years in cloud integration, backend development, or data engineering.
• Strong experience in Azure integration services.
• Experience working in enterprise data environments.

Responsibilities

• Design and implement cloud-based integration workflows using Azure services.
• Develop backend data processing pipelines for file-based and API-based integrations.
• Build transformation logic for JSON, XML, and other structured data formats.

Skills

Azure cloud workflows and services

REST APIs and integration design patterns

JSON, XML, and structured data mapping

Event-driven architecture fundamentals

Error handling, monitoring, and retry strategy implementation

Git and CI/CD practices

Job description

Role Summary

We are looking for an experienced Azure Integration & Data Engineer to design, develop, and maintain scalable cloud-based integration and backend data processing solutions. This role focuses on enabling reliable system-to-system communication, structured data processing, and secure data movement across enterprise platforms in a cloud-first environment. The ideal candidate has strong experience in Azure integration services, backend data workflows, and complex data transformation logic.

Key Responsibilities

• Design and implement cloud-based integration workflows using Azure services.
• Develop backend data processing pipelines for file-based and API-based integrations.
• Build transformation logic for JSON, XML, and other structured data formats.
• Implement validation, routing, and conditional data processing.
• Develop and maintain Azure Functions for parsing and transformation logic.
• Work with message queues, event-driven workflows, and file integrations.
• Design and maintain staging and operational databases in Azure SQL.
• Implement secure system-to-system communication.
• Ensure reliability through logging, monitoring, retries, and exception handling.
• Collaborate with downstream data and analytics teams.
• Support performance optimization, troubleshooting, and operational stability.

Required Technical Skills

• Azure cloud workflows and services: Logic Apps, Azure Functions (Python/C#), Azure SQL development, and secure Blob/file storage.
• REST APIs and integration design patterns.
• JSON, XML, and structured data mapping.
• Event‑driven architecture fundamentals.
• Error handling, monitoring, and retry strategy implementation.
• Git and CI/CD practices.

Preferred / Added Advantage

• Microsoft Fabric, including Data Pipelines, Lakehouse, or OneLake concepts. Exposure to modern cloud data lake architectures.
• Familiarity with ETL/ELT data movement into analytics platforms.
• API gateway or API management experience.
• Messaging platforms (queues, pub/sub models, event systems).
• Experience with industry‑standard structured document formats.
• Practical experience building software in U.S. healthcare environments, accounting for HIPAA, PHI handling, and regulated data flows.
• Experience writing and maintaining production code that leverages generative AI.

Soft Skills

• Strong analytical and problem‑solving ability.
• Ability to understand complex data workflows.
• Clear communication with technical and non‑technical stakeholders.
• Ownership mindset for system reliability.

Experience

• 3+ years in cloud integration, backend development, or data engineering.
• Experience working in enterprise data environments.
• Experience designing or maintaining system integrations.