You are a skilled Senior AWS DevOps Engineer with 5 to 8 years of experience in DevOps, cloud computing, and infrastructure engineering. You will play a crucial role in our team by leveraging your expertise in AWS cloud services, infrastructure automation, CI/CD pipelines, and security best practices to design, implement, and manage scalable, secure, and reliable cloud-based solutions. Your responsibilities will include architecting, building, and maintaining highly scalable AWS infrastructure, managing CI/CD pipelines using tools like Jenkins, Bitbucket, or AWS CodePipeline, and developing Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK. You will automate deployment, monitoring, and scaling of applications and infrastructure while optimizing cloud costs and performance through effective resource management and scaling strategies. As a Senior AWS DevOps Engineer, you will also manage Kubernetes clusters (EKS) and containerized applications using Docker, monitor system performance, troubleshoot issues, and enforce security best practices such as IAM policies, network security, and compliance with industry standards. Collaboration with developers, architects, and security teams will be essential to enhance DevOps best practices and drive continuous improvement in deployment efficiency and system resilience. To excel in this role, you should possess expertise in AWS services like EC2, S3, Lambda, RDS, IAM, VPC, CloudWatch, ECS, and EKS, proficiency in IaC tools, strong knowledge of Kubernetes and container orchestration, and proficiency in scripting and automation using languages like Python, Bash, or Go. Experience with CI/CD pipelines, monitoring and logging tools, networking, security best practices, IAM policies, and configuration management tools will be beneficial. Experience in Agile/Scrum development environments and AWS certifications such as AWS Certified DevOps Engineer Professional are preferred qualifications. Knowledge of serverless architectures and Service Mesh architectures will also be advantageous for this role. If you are a proactive problem solver with a passion for optimizing cloud performance and cost, we look forward to welcoming you to our team as our Senior AWS DevOps Engineer.,
As a skilled Data Visualization Engineer with expertise in Qlik Sense, you will play a crucial role in designing, developing, and maintaining interactive dashboards and reports. Your responsibilities will include working with PowerBI, Tableau, Looker, and Qlik Sense to create compelling data visualizations, ensuring seamless data representation, and storytelling through dashboards. Additionally, you will be involved in developing and managing QVF and QVD structures for optimized data retrieval, implementing best practices in Qlik Sense scripting, data modeling, and performance tuning, as well as maintaining and optimizing existing Qlik Sense applications. Key Responsibilities: - Design, develop, and maintain interactive dashboards and reports using Qlik Sense. - Create compelling data visualizations using PowerBI, Tableau, Looker, and Qlik Sense. - Ensure seamless data representation and storytelling through dashboards. - Develop and manage QVF and QVD structures for optimized data retrieval. - Implement best practices in Qlik Sense scripting, data modeling, and performance tuning. - Utilize basic HTTP APIs to integrate external data sources into dashboards. - Collaborate with data engineers to optimize data flows from source to visualization. - Utilize Python for data manipulation, automation, and minor custom integrations. - Improve reporting workflows through automation scripts and process optimizations. Qualifications Required: - 2 to 4 years of experience in Data Visualization or BI Reporting roles. - Strong experience with Qlik Sense (QVF and QVD structures, scripting, visualization). - Hands-on experience with PowerBI, Tableau, and Looker. - Basic understanding of HTTP APIs for data integration. - Knowledge of Python for automation and data transformation. - Experience in performance optimization of dashboards and reports. - Strong analytical and problem-solving skills. If you possess experience in data modeling and ETL concepts, familiarity with cloud-based data visualization solutions, and understanding of data governance and security best practices, it would be considered as preferred qualifications. Please note that this job opportunity was posted by Kalpna Panwar from Suzuki Digital.,