ASAI job platform logo
  1. Home
  2. /Jobs
  3. /Cloud Engineer Jobs in Gautam Buddha Nagar
  4. /Sr Administrator (Support & Operations)
HC
HCLTech

Sr Administrator (Support & Operations)

Gautam Buddha Nagar · Director

Older listing - lower visibility likelyVerified listingPosted 41d ago

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

What we know about this role

Hiring pulse

HIGH

Our tracked job listings for HCLTech show strong recent activity.

Apply window

First 72 hours

Window passed - posted 41d ago

Early applicants get seen before the pile builds.

Not a repost

The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

23 listed
Azure Data FactoryAzure Service BusAzure API ManagementAzure Application InsightsAzure Kubernetes ServiceCI/CDAzure Blob StorageAzure Databricks+15 more
Azure Data FactoryAzure Service BusAzure API ManagementAzure Application InsightsAzure Kubernetes Service

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

Job Summary

Job Title: Data Integration Engineer – Level 2

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 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:
    • Azure Application Insights
    • Log Analytics Workspace
  • 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 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.

Must-Have Skills & Experience

  • 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

Good-to-Have Skills

  • 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 experience in data integration, data engineering, or related roles.
  • Azure certifications (preferred):
    • Azure Data Engineer Associate
    • Azure DevOps Engineer Expert

 

Key Responsibilities

Job Title: Data Integration Engineer – Level 2

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 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:
    • Azure Application Insights
    • Log Analytics Workspace
  • 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 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.

Must-Have Skills & Experience

  • 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

Good-to-Have Skills

  • 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 experience in data integration, data engineering, or related roles.
  • Azure certifications (preferred):
    • Azure Data Engineer Associate
    • Azure DevOps Engineer Expert

 

Skill Requirements

Job Title: Data Integration Engineer – Level 2

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 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:
    • Azure Application Insights
    • Log Analytics Workspace
  • 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 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.

Must-Have Skills & Experience

  • 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

Good-to-Have Skills

  • 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 experience in data integration, data engineering, or related roles.
  • Azure certifications (preferred):
    • Azure Data Engineer Associate
    • Azure DevOps Engineer Expert

 

Other Requirements

Job Title: Data Integration Engineer – Level 2

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 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:
    • Azure Application Insights
    • Log Analytics Workspace
  • 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 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.

Must-Have Skills & Experience

  • 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

Good-to-Have Skills

  • 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 experience in data integration, data engineering, or related roles.
  • Azure certifications (preferred):
    • Azure Data Engineer Associate
    • Azure DevOps Engineer Expert

 

Tools to land this role

Premium

Your match score, skill map and tracker stay free.

Ground Reality

Premium
Spot the dealbreakers in this 1932-word post before you apply

Skip jobs with hidden dealbreakers. See what they actually need, what's easy to miss, and how they describe the team.

Ground Reality on every job, plus Insider Path, practice interviews and resume tailoring.

Insider Path

Premium
Find someone who can refer you here

We help you find people there who worked or studied where you did, and draft your first message and follow-up.

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

More Cloud Engineer roles in Gautam Buddha Nagar

See all

Platform Engineer II

HCHCLTech · Gautam Buddha Nagar

Administrator (Support & Operations)

HCHCLTech · Gautam Buddha Nagar

Solution Architect - Terraform,Python,Google Cloud Build,Ansible

HCHCLTech · Gautam Buddha Nagar

Solution Architect -Infrastructure as Code (IaC), Windows Powershell

HCHCLTech · Gautam Buddha Nagar

Keep browsing

All open roles at HCLTechAll Cloud Engineer jobs in Gautam Buddha Nagar

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

ASAI job platform logo

A job platform finally, balanced in your favour.

Jobs by CityJobs by CompanyGuidesPricingHow We VerifyAboutPrivacy PolicyTerms of ServiceDaily jobs on WhatsApp

Built in India 🇮🇳

© 2026 ASAI. All rights reserved.