Key Responsibilities
Develop and maintain data pipelines in Azure Data Factory (ADF) for data extraction and integration
Extract data from REST APIs (e.g., Kinaxis) using OAuth/token-based authentication
Retrieve and manage credentials securely using Azure Key Vault
Use REST Linked Services and Web Activities in ADF for API communication
Perform data transformation and validation within ADF pipelines
Write and optimize SQL queries, stored procedures, and views using SSMS
Support data loading and integration processes between source and target systems
Build and maintain basic data models for reporting and downstream consumption
Monitor pipeline runs and troubleshoots failures/issues
Ensure proper handling of dynamic content, parameters, and variables in ADF
Integrate enterprise applications through APIs, event-driven architecture, and cloud workflows.
Implement secure, highly available, and performant cloud solutions following Azure best practices.
Collaborate with cross-functional teams to deliver end-to-end data and integration solutions.
Strong Python development experience, preferably in backend or integration-heavy systems.
Hands-on experience with Azure Functions or other serverless cloud platforms.
Experience with unit testing frameworks such as pytest.
Ability to work with existing codebases that combine modular and object-oriented patterns.
Technical Skills
Mandatory Skills (Must have)
Azure Data Factory (ADF)
API integration using Web Activity (GET/POST)
Handling JSON responses in pipelines
Stored procedures and joins
Data extraction and transformation
Basic data modeling concepts
Work with Azure Functions when integrated with ADF pipelines
Trigger or consume Azure Functions from ADF when needed
Build event-driven architectures using Azure Function Triggers (HTTP, Timer, Blob, Queue, Service Bus).
Develop reusable functions for data validation, enrichment, transformation, and business rule execution.
Develop functions for preparing payload in xml
Design and implement workflow automation solutions using Azure Logic Apps.
Build integrations between Azure services, third-party SaaS applications, REST APIs, and enterprise systems.
Configure connectors, triggers, approvals, notifications, and workflow orchestration.
Develop error handling, retry mechanisms, and alerting workflows.
Automate business processes and data movement across cloud and on-premises systems.
Design and develop RESTful APIs using FastAPI framework.
Build high-performance, scalable microservices for data access and integration.
Implement authentication and authorization mechanisms (OAuth2, JWT, API Keys).
Develop API endpoints for real-time data ingestion and retrieval.
Azure
Azure Data Factory (ADF)
Azure App Service
Azure Key Vault (secret management)
REST Linked Service configuration
Managed Identity access
Data Integration
API integration using Web Activity (GET/POST)
OAuth/token-based authentication flows
Handling JSON responses in pipelines
Pipeline debugging and monitoring
Database & SQL
SQL Server (SSMS)
Query writing and optimization
Stored procedures and joins
Data extraction and transformation
Data Modeling
Basic data modeling concepts
Fact and dimension structure understanding
Support for reporting datasets
Azure Functions
Work with Azure Functions when integrated with ADF pipelines
Use functions for supporting API calls or preprocessing logic
Handle small transformations or utilities when required
Trigger or consume Azure Functions from ADF when needed
Build event-driven architectures using Azure Function Triggers (HTTP, Timer, Blob, Queue, Service Bus).
Develop reusable functions for data validation, enrichment, transformation, and business rule execution.
Develop functions for preparing payload in xml
Monitor and troubleshoot Azure Function execution using Application Insights and Azure Monitor.
Knowledge of XML, ZIP-based payload handling, API integrations, and asynchronous orchestration.
Azure Logic Apps
Design and implement workflow automation solutions using Azure Logic Apps.
Build integrations between Azure services, third-party SaaS applications, REST APIs, and enterprise systems.
Configure connectors, triggers, approvals, notifications, and workflow orchestration.
Develop error handling, retry mechanisms, and alerting workflows.
Automate business processes and data movement across cloud and on-premises systems.
FastAPI
Design and develop RESTful APIs using FastAPI framework.
Build high-performance, scalable microservices for data access and integration.
Implement authentication and authorization mechanisms (OAuth2, JWT, API Keys).
Develop API endpoints for real-time data ingestion and retrieval.
Create OpenAPI/Swagger documentation for developed services.
Deploy and manage FastAPI applications on Azure App Services, Azure Functions, Kubernetes, or Container Apps.
Soft Skills
Strong problem-solving skills
Attention to data accuracy and quality
Ability to work with both technical and business teams
Responsibilities
Key Responsibilities
Develop and maintain data pipelines in Azure Data Factory (ADF) for data extraction and integration
Extract data from REST APIs (e.g., Kinaxis) using OAuth/token-based authentication
Retrieve and manage credentials securely using Azure Key Vault
Use REST Linked Services and Web Activities in ADF for API communication
Perform data transformation and validation within ADF pipelines
Write and optimize SQL queries, stored procedures, and views using SSMS
Support data loading and integration processes between source and target systems
Build and maintain basic data models for reporting and downstream consumption
Monitor pipeline runs and troubleshoots failures/issues
Ensure proper handling of dynamic content, parameters, and variables in ADF
Integrate enterprise applications through APIs, event-driven architecture, and cloud workflows.
Implement secure, highly available, and performant cloud solutions following Azure best practices.
Collaborate with cross-functional teams to deliver end-to-end data and integration solutions.
Strong Python development experience, preferably in backend or integration-heavy systems.
Hands-on experience with Azure Functions or other serverless cloud platforms.
Experience with unit testing frameworks such as pytest.
Ability to work with existing codebases that combine modular and object-oriented patterns.
Technical Skills
Mandatory Skills (Must have)
Azure Data Factory (ADF)
API integration using Web Activity (GET/POST)
Handling JSON responses in pipelines
Stored procedures and joins
Data extraction and transformation
Basic data modeling concepts
Work with Azure Functions when integrated with ADF pipelines
Trigger or consume Azure Functions from ADF when needed
Build event-driven architectures using Azure Function Triggers (HTTP, Timer, Blob, Queue, Service Bus).
Develop reusable functions for data validation, enrichment, transformation, and business rule execution.
Develop functions for preparing payload in xml
Design and implement workflow automation solutions using Azure Logic Apps.
Build integrations between Azure services, third-party SaaS applications, REST APIs, and enterprise systems.
Configure connectors, triggers, approvals, notifications, and workflow orchestration.
Develop error handling, retry mechanisms, and alerting workflows.
Automate business processes and data movement across cloud and on-premises systems.
Design and develop RESTful APIs using FastAPI framework.
Build high-performance, scalable microservices for data access and integration.
Implement authentication and authorization mechanisms (OAuth2, JWT, API Keys).
Develop API endpoints for real-time data ingestion and retrieval.
Azure
Azure Data Factory (ADF)
Azure App Service
Azure Key Vault (secret management)
REST Linked Service configuration
Managed Identity access
Data Integration
API integration using Web Activity (GET/POST)
OAuth/token-based authentication flows
Handling JSON responses in pipelines
Pipeline debugging and monitoring
Database & SQL
SQL Server (SSMS)
Query writing and optimization
Stored procedures and joins
Data extraction and transformation
Data Modeling
Basic data modeling concepts
Fact and dimension structure understanding
Support for reporting datasets
Azure Functions
Work with Azure Functions when integrated with ADF pipelines
Use functions for supporting API calls or preprocessing logic
Handle small transformations or utilities when required
Trigger or consume Azure Functions from ADF when needed
Build event-driven architectures using Azure Function Triggers (HTTP, Timer, Blob, Queue, Service Bus).
Develop reusable functions for data validation, enrichment, transformation, and business rule execution.
Develop functions for preparing payload in xml
Monitor and troubleshoot Azure Function execution using Application Insights and Azure Monitor.
Knowledge of XML, ZIP-based payload handling, API integrations, and asynchronous orchestration.
Azure Logic Apps
Design and implement workflow automation solutions using Azure Logic Apps.
Build integrations between Azure services, third-party SaaS applications, REST APIs, and enterprise systems.
Configure connectors, triggers, approvals, notifications, and workflow orchestration.
Develop error handling, retry mechanisms, and alerting workflows.
Automate business processes and data movement across cloud and on-premises systems.
FastAPI
Design and develop RESTful APIs using FastAPI framework.
Build high-performance, scalable microservices for data access and integration.
Implement authentication and authorization mechanisms (OAuth2, JWT, API Keys).
Develop API endpoints for real-time data ingestion and retrieval.
Create OpenAPI/Swagger documentation for developed services.
Deploy and manage FastAPI applications on Azure App Services, Azure Functions, Kubernetes, or Container Apps.
Soft Skills
Strong problem-solving skills
Attention to data accuracy and quality
Ability to work with both technical and business teams
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
