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Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
Role : Principal Devops Engineer
About the Client
It is a Product base company that has to build a platform using AI and ML technology for their transportation and logiticsThey also have a presence in the global market
Responsibilities and Requirements
• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Knowledge in Linux/Unix Administration and Python/Shell Scripting
• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skill
Roles & Responsibilities:
- Bachelor’s degree in Computer Science, Information Technology or a related field
- Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
- Knowledge in Linux/Unix Administration and Python/Shell Scripting
- Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
- Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
- Experience in enterprise application development, maintenance and operations
- Knowledge of best practices and IT operations in an always-up, always-available service
- Excellent written and oral communication skills, judgment and decision-making skills
Responsibilities
- Implement various development, testing, automation tools, and IT infrastructure
- Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
- Manage end-to-end production workloads hosted on Docker and AWS
- Automate CI pipeline using Groovy DSL
- Deploy and configure Kubernetes clusters (EKS)
- Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker
Eligibility
- At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
- Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
- Experience in deploying and managing production environments in Amazon AWS
- Strong experience in continuous integration and continuous deployment
- Knowledge of application build, deployment, and configuration using one of the tools: Jenkins