{"id":3150370,"url":"https://alion.io/job/hcltech-senior-technical-specialist-127","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitOps","optional":false},{"name":"Incident Management","optional":false},{"name":"Postman","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"DataStage","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-10-23T11:53:27Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T17:33:32Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nJob Title: Data Integration Engineer - Level 2\nJob Summary\nWe 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.\nKey Responsibilities\nDesign, develop, and maintain end-to-end data integration solutions across enterprise systems.\nBuild scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Data Flows.\nDevelop high-performance data processing solutions using Azure Databricks (ADB) and Python.\nImplement event-driven architectures using Azure Service Bus.\nDevelop and manage serverless applications using Azure Functions.\nDesign and expose APIs using Azure API Management (APIM).\nBuild and maintain NoSQL data solutions using Cosmos DB.\nManage secure access to secrets and credentials using Azure Key Vault.\nMonitor and troubleshoot applications using:\nAzure Application Insights\nLog Analytics Workspace\nDeploy and manage containerized applications using Azure Kubernetes Service (AKS).\nImplement CI/CD pipelines using Azure DevOps and GitOps practices via ArgoCD.\nAutomate infrastructure provisioning and configuration using Terraform.\nEnsure effective use of Azure services for integration (eventing, messaging, API, compute).\nProvide Level 2 (L2) operational support, including:\nIncident management and resolution\nRoot cause analysis (RCA)\nPerformance optimization and system tuning\nCollaborate with architects, data engineers, and business stakeholders to deliver robust solutions.\nImplement best practices for security, monitoring, governance, and reliability.\nMust-Have Skills & Experience\nStrong experience in Data Integration / Data Engineering.\nHands-on expertise in:\n Azure Data Factory (ADF), Azure Databricks\nConfluent Kafka, Azure Event Hubs, Azure Service Bus Explorer\nReal-time data processing, Event-Driven Architecture, CDC, Micro-batch & Continuous Streaming\nCosmos DB, Azure Blob Storage, Azure SQL, SQL\nPySpark, Python\nCI/CD Pipelines, Azure DevOps, Git, ETL Deployments\nAzure Monitor, Application Insights, Log Analytics, Alerts creation, Metrics analysis\n Azure Kubernetes Service (AKS)\nControl-M, Postman, Datadog\nExperience with:\nAzure Functions\nAzure Service Bus\n Azure API Management (APIM)\nCosmos DB\nMonitoring and observability tools:\nAzure Application Insights\nLog Analytics Workspace\nSecurity:\nAzure Key Vault\nContainerization and orchestration:\n Azure Kubernetes Service (AKS)\nDevOps & deployment:\nAzure DevOps\nArgoCD\nInfrastructure as Code:\nTerraform\nStrong understanding of Azure services related to integration (messaging, APIs, serverless, data pipelines).\nExperience in performance tuning and cost optimization on Azure.\nExposure to API-led and microservices-based architectures.\nProven operations/support (L2) experience in production environments.\nGood understanding of:\nDistributed systems\nData modelling & data warehousing\nCloud architecture and scalability patterns\nGood-to-Have Skills\nExperience with legacy or enterprise ETL tools:\nIBM DataStage\nAdvanced monitoring/observability tools:\nDatadog\nSplunk\nKnowledge of hybrid integration patterns.\nQualifications\nBachelor’s or Master’s degree in Computer Science, IT, or related field.\n Total integration experience of 12+ years with 6 to 8+ years of relevant experience in data integration, data engineering, or related roles.\nAzure certifications (preferred):\nAzure Data Engineer Associate\nAzure DevOps Engineer Expert\nKey Responsibilities\nJob Title: Data Integration Engineer - Level 2\nJob Summary\nWe 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.\nKey Responsibilities\nDesign, develop, and maintain end-to-end data integration solutions across enterprise systems.\nBuild scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Data Flows.\nDevelop high-performance data processing solutions using Azure Databricks (ADB) and Python.\nImplement event-driven architectures using Azure Service Bus.\nDevelop and manage serverless applications using Azure Functions.\nDesign and expose APIs using Azure API Management (APIM).\nBuild and maintain NoSQL data solutions using Cosmos DB.\nManage secure access to secrets and credentials using Azure Key Vault.\nMonitor and troubleshoot applications using:\nAzure Application Insights\nLog Analytics Workspace\nDeploy and manage containerized applications using Azure Kubernetes Service (AKS).\nImplement CI/CD pipelines using Azure DevOps and GitOps practices via ArgoCD.\nAutomate infrastructure provisioning and configuration using Terraform.\nEnsure effective use of Azure services for integration (eventing, messaging, API, compute).\nProvide Level 2 (L2) operational support, including:\nIncident management and resolution\nRoot cause analysis (RCA)\nPerformance optimization and system tuning\nCollaborate with architects, data engineers, and business stakeholders to deliver robust solutions.\nImplement best practices for security, monitoring, governance, and reliability.\nMust-Have Skills & Experience\nStrong experience in Data Integration / Data Engineering.\nHands-on expertise in:\n Azure Data Factory (ADF), Azure Databricks\nConfluent Kafka, Azure Event Hubs, Azure Service Bus Explorer\nReal-time data processing, Event-Driven Architecture, CDC, Micro-batch & Continuous Streaming\nCosmos DB, Azure Blob Storage, Azure SQL, SQL\nPySpark, Python\nCI/CD Pipelines, Azure DevOps, Git, ETL Deployments\nAzure Monitor, Application Insights, Log Analytics, Alerts creation, Metrics analysis\n Azure Kubernetes Service (AKS)\nControl-M, Postman, Datadog\nExperience with:\nAzure Functions\nAzure Service Bus\n Azure API Management (APIM)\nCosmos DB\nMonitoring and observability tools:\nAzure Application Insights\nLog Analytics Workspace\nSecurity:\nAzure Key Vault\nContainerization and orchestration:\n Azure Kubernetes Service (AKS)\nDevOps & deployment:\nAzure DevOps\nArgoCD\nInfrastructure as Code:\nTerraform\nStrong understanding of Azure services related to integration (messaging, APIs, serverless, data pipelines).\nExperience in performance tuning and cost optimization on Azure.\nExposure to API-led and microservices-based architectures.\nProven operations/support (L2) experience in production environments.\nGood understanding of:\nDistributed systems\nData modelling & data warehousing\nCloud architecture and scalability patterns\nGood-to-Have Skills\nExperience with legacy or enterprise ETL tools:\nIBM DataStage\nAdvanced monitoring/observability tools:\nDatadog\nSplunk\nKnowledge of hybrid integration patterns.\nQualifications\nBachelor’s or Master’s degree in Computer Science, IT, or related field.\n Total integration experience of 12+ years with 6 to 8+ years of relevant experience in data integration, data engineering, or related roles.\nAzure certifications (preferred):\nAzure Data Engineer Associate\nAzure DevOps Engineer Expert\nSkill Requirements\nJob Title: Data Integration Engineer - Level 2\nJob Summary\nWe 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.\nKey Responsibilities\nDesign, develop, and maintain end-to-end data integration solutions across enterprise systems.\nBuild scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Data Flows.\nDevelop high-performance data processing solutions using Azure Databricks (ADB) and Python.\nImplement event-driven architectures using Azure Service Bus.\nDevelop and manage serverless applications using Azure Functions.\nDesign and expose APIs using Azure API Management (APIM).\nBuild and maintain NoSQL data solutions using Cosmos DB.\nManage secure access to secrets and credentials using Azure Key Vault.\nMonitor and troubleshoot applications using:\nAzure Application Insights\nLog Analytics Workspace\nDeploy and manage containerized applications using Azure Kubernetes Service (AKS).\nImplement CI/CD pipelines using Azure DevOps and GitOps practices via ArgoCD.\nAutomate infrastructure provisioning and configuration using Terraform.\nEnsure effective use of Azure services for integration (eventing, messaging, API, compute).\nProvide Level 2 (L2) operational support, including:\nIncident management and resolution\nRoot cause analysis (RCA)\nPerformance optimization and system tuning\nCollaborate with architects, data engineers, and business stakeholders to deliver robust solutions.\nImplement best practices for security, monitoring, governance, and reliability.\nMust-Have Skills & Experience\nStrong experience in Data Integration / Data Engineering.\nHands-on expertise in:\n Azure Data Factory (ADF), Azure Databricks\nConfluent Kafka, Azure Event Hubs, Azure Service Bus Explorer\nReal-time data processing, Event-Driven Architecture, CDC, Micro-batch & Continuous Streaming\nCosmos DB, Azure Blob Storage, Azure SQL, SQL\nPySpark, Python\nCI/CD Pipelines, Azure DevOps, Git, ETL Deployments\nAzure Monitor, Application Insights, Log Analytics, Alerts creation, Metrics analysis\n Azure Kubernetes Service (AKS)\nControl-M, Postman, Datadog\nExperience with:\nAzure Functions\nAzure Service Bus\n Azure API Management (APIM)\nCosmos DB\nMonitoring and observability tools:\nAzure Application Insights\nLog Analytics Workspace\nSecurity:\nAzure Key Vault\nContainerization and orchestration:\n Azure Kubernetes Service (AKS)\nDevOps & deployment:\nAzure DevOps\nArgoCD\nInfrastructure as Code:\nTerraform\nStrong understanding of Azure services related to integration (messaging, APIs, serverless, data pipelines).\nExperience in performance tuning and cost optimization on Azure.\nExposure to API-led and microservices-based architectures.\nProven operations/support (L2) experience in production environments.\nGood understanding of:\nDistributed systems\nData modelling & data warehousing\nCloud architecture and scalability patterns\nGood-to-Have Skills\nExperience with legacy or enterprise ETL tools:\nIBM DataStage\nAdvanced monitoring/observability tools:\nDatadog\nSplunk\nKnowledge of hybrid integration patterns.\nQualifications\nBachelor’s or Master’s degree in Computer Science, IT, or related field.\n Total integration experience of 12+ years with 6 to 8+ years of relevant experience in data integration, data engineering, or related roles.\nAzure certifications (preferred):\nAzure Data Engineer Associate\nAzure DevOps Engineer Expert\nOther Requirements","description_format":"text","description_chars":10942,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems 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