We are seeking a highly skilled Data Integration Engineer (Level 3) to design, build, and manage enterprise-scale data integration solutions on Azure. This role requires strong expertise in cloud-native data services, integration patterns, DevOps practices, and L3 production support to ensure reliability, performance, and scalability of data platforms.
Key Responsibilities
Design, develop, and maintain end-to-end data integration solutions across enterprise systems.
Build scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Data Flows.
Develop high-performance data processing solutions using Azure Databricks (ADB) and Python.
Implement event-driven architectures using Azure Service Bus.
Develop and manage serverless applications using Azure Functions.
Design and expose APIs using Azure API Management (APIM).
Build and maintain NoSQL data solutions using Cosmos DB.
Manage secure access to secrets and credentials using Azure Key Vault.
Monitor and troubleshoot applications using:
Deploy and manage containerized applications using Azure Kubernetes Service (AKS).
Implement CI/CD pipelines using Azure DevOps and GitOps practices via ArgoCD.
Automate infrastructure provisioning and configuration using Terraform.
Ensure effective use of Azure services for integration (eventing, messaging, API, compute).
Provide Level 3 (L3) operational support, including:
Incident management and resolution
Root cause analysis (RCA)




Performance optimization and system tuning
Collaborate with architects, data engineers, and business stakeholders to deliver robust solutions.
Implement best practices for security, monitoring, governance, and reliability.
Must-Have Skills & Experience
Strong experience in Data Integration / Data Engineering.
Hands-on expertise in: Python programming
Experience with: Monitoring and observability tools
Experience with: Containerization and orchestration
Experience with: Infrastructure as Code (Terraform)
Strong understanding of Azure services related to integration (messaging, APIs, serverless, data pipelines).
Experience in performance tuning and cost optimization on Azure.
Exposure to API-led and microservices-based architectures.
Proven operations/support (L3) experience in production environments.
Good understanding of:
Distributed systems
Data modelling & data warehousing
Cloud architecture and scalability patterns
Valuable‐to‐Have Skills
Experience with legacy or enterprise ETL tools: IBM DataStage
Advanced monitoring/observability tools: Splunk
Knowledge of hybrid integration patterns.
Qualifications
Bachelor's or Master's degree in Computer Science, IT, or related field.
Total integration experience of 12+ years with 6 to 8+ years of relevant experience in data integration, data engineering, or related roles.
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📌 Data Integration Specialist (Melbourne)
🏢 Nityo Infotech
📍 Melbourne