Technical Support Specialist

Job Summary

We are seeking a highly skilled Data Integration Engineer (Level 2)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 L2 production support to ensure reliability, performance, and scalability of data platforms.

Key Responsibilities

• Design, develop, and maintain end-to-end data integration solutionsacross 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 applicationsusing 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:

• Azure Application Insights

• Log Analytics Workspace

• Deploy and manage containerized applications using Azure Kubernetes Service (AKS).

• Implement CI/CD pipelines using Azure DevOpsand 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 2 (L2) 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.

Skill Requirements

• Strong experience in Data Integration / Data Engineering.

• Hands-on expertise in:

• Azure Data Factory (ADF), Azure Databricks

• Confluent Kafka, Azure Event Hubs, Azure Service Bus Explorer

• Real-time data processing, Event-Driven Architecture, CDC, Micro-batch & Continuous Streaming

• Cosmos DB, Azure Blob Storage, Azure SQL, SQL

• PySpark, Python

• CI/CD Pipelines, Azure DevOps, Git, ETL Deployments

• Azure Monitor, Application Insights, Log Analytics, Alerts creation, Metrics analysis

• Azure Kubernetes Service (AKS)

• Control-M, Postman, Datadog

• Experience with:

• Azure Functions

• Azure Service Bus

• Azure API Management (APIM)

• Cosmos DB

• Monitoring and observability tools:

• Azure Application Insights

• Log Analytics Workspace

• Security:

• Azure Key Vault

• Containerization and orchestration:

• Azure Kubernetes Service (AKS)

• DevOps & deployment:

• Azure DevOps

• ArgoCD

• 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 (L2)experience in production environments.

• Good understanding of:

• Distributed systems

• Data modelling & data warehousing

• Cloud architecture and scalability patterns

Other Requirements

• Experience with legacy or enterprise ETL tools:

• IBM DataStage

• Advanced monitoring/observability tools:

• Datadog

• 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 experiencein data integration, data engineering, or related roles.

• Azure certifications (preferred):

• Azure Data Engineer Associate

• Azure DevOps Engineer Expert