Skills: · Advanced working knowledge and experience with relational and non-relational databases. · Experience building and optimizing Big Data pipelines, architectures, and datasets. · Strong analytic skills related to working with structured and unstructured datasets. · Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. · Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. · Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. · Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. · Azure DevOps experience to deploy the data pipelines through CI/CD. Qualifications and Experience: · Minimum 5-7 years of practical experience as Data Engineer. Bachelor’s degree in computer science, software engineering, information technology, or a related field. · Azure cloud stack in-production experience. Show more Show less

AEM DevOps Engineer - Job Description Airline Domain Experience needed Responsibilities AEM Infrastructure Management: Design, deploy, and maintain secure, scalable, and highly available AEM environments (author, publish, and dispatcher) across development, staging, and production systems. Automation & CI/CD: Develop and manage automated CI/CD pipelines using tools like Jenkins, GitLab CI, or Cloud Manager to streamline AEM deployments and reduce release cycles. Monitoring & Performance Optimization: Implement robust monitoring, logging, and alerting systems (e.g., New Relic) to proactively identify performance issues, ensure high availability, and optimize system performance. Cloud & Containerization: Deploy and manage AEM and supporting applications on cloud platforms (AWS, Azure) using containerization and orchestration tools such as Docker and Kubernetes. Security & Compliance: Apply security best practices including role-based access control, secure dispatcher configuration, SSL, and vulnerability assessments to maintain compliance with organizational and industry standards. Cross-functional Collaboration: Collaborate with AEM developers, system administrators, QA, and business teams to troubleshoot infrastructure issues, optimize configurations, and ensure seamless integration with enterprise systems. Backup & Disaster Recovery: Design and implement comprehensive backup, restore, and disaster recovery strategies for AEM environments to ensure business continuity. DevOps & Agile Enablement: Promote DevOps culture by supporting automation, agile workflows, continuous improvement, and efficient collaboration between development and operations. Requirements Qualifications 3+ years of hands-on experience as a DevOps Engineer or similar role managing Adobe Experience Manager environments. Strong understanding of AEM architecture (6.5+), including author/publish topology, dispatcher setup, performance tuning, and upgrade/patching strategies. Experience with cloud platforms (AWS, Azure), including deployment, scaling, and automation. Hands-on experience with Docker and Kubernetes for container orchestration. Expertise in CI/CD pipeline management using Jenkins, GitLab, or AEM Cloud Manager. Proficiency with scripting languages such as Bash, or PowerShell. Familiarity with monitoring tools such as Nagios, or New Relic. Strong understanding of networking, load balancing, and security in cloud and hybrid environments. Comfortable working in Agile teams and supporting DevOps practices. Preferred Qualifications Experience with AEM as a Cloud Service and cloud-native deployment models. Familiarity with Adobe Marketing Cloud tools (Analytics, Target, Campaign). Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure DevOps Engineer Expert). Experience implementing high availability and disaster recovery strategies for AEM. Advanced knowledge of AEM Dispatcher configuration and performance tuning

Skills Advanced working knowledge and experience with relational and non-relational databases. Experience building and optimizing Big Data pipelines, architectures, and datasets. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. Azure DevOps experience to deploy the data pipelines through CI/CD. Qualifications And Experience Minimum 5-7 years of practical experience as Data Engineer. Bachelor’s degree in computer science, software engineering, information technology, or a related field. Azure cloud stack in-production experience.

Skills Advanced working knowledge and experience with relational and non-relational databases. Experience building and optimizing Big Data pipelines, architectures, and datasets. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. Azure DevOps experience to deploy the data pipelines through CI/CD. Qualifications And Experience Minimum 5-7 years of practical experience as Data Engineer. Bachelors degree in computer science, software engineering, information technology, or a related field. Azure cloud stack in-production experience. (ref:hirist.tech)