Senior Tableau Dashboard Analyst

Requirements / Responsibilities:

· At least 5 + years of experience in designing, developing, and deploying scalable cloud-native applications using Java, Spring Boot, microservices, and cloud platforms such as GCP.

· Design, develop, test, and maintain scalable enterprise applications using Java 17/21, Spring Boot 4.x, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.

· Build and enhance microservices-based applications, applying domain-driven design, distributed system principles, and cloud-native architecture patterns.

· Design, develop, and support RESTful APIs and backend services with a focus on performance, security, reliability, and scalability.

· Implement event-driven architectures using Apache Kafka, including producer/consumer development, message processing, and asynchronous integration patterns.

· Develop and optimize data persistence layers using Oracle, PostgreSQL, SQL Server, or other relational database technologies, including SQL query optimization and performance tuning.

· Collaborate with architects, product owners, QA engineers, and cross-functional teams to translate business requirements into technical solutions.

· Integrate applications with internal and external systems through APIs, messaging platforms, and middleware technologies.

· Develop containerized applications using Docker and deploy services on Kubernetes platforms such as GKE, RKE, and RKE
2.

· Utilize Google Cloud Platform (GCP) services including GKE, Cloud SQL, Pub/Sub, Cloud Storage, and Secret Manager to build and support cloud-native applications.

· Implement and support CI/CD pipelines using tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, or Azure Dev Ops to enable automated build, testing, and deployment processes.

· Write unit, integration, and automated tests while following software quality practices including TDD, code reviews, static code analysis, and continuous integration.

· Monitor, troubleshoot, and resolve application and production issues using logging and observability tools such as Splunk, ELK, Prometheus, and Grafana.

· Apply security, performance, resiliency, and operational best practices across all stages of the software development lifecycle.

· Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives while contributing to continuous improvement initiatives.

· Experience developing and supporting high-volume, mission-critical applications in large-scale distributed environments is preferred.

Good to have skills:

· Exposure to full-stack application development and collaboration with frontend teams to design and consume REST APIs efficiently.

· Experience implementing and supporting Dev Ops and CI/CD pipelines using tools such as Azure Dev Ops, Jenkins, Git Hub Actions, ArgoCD, and Sonar Qube.

· Hands-on experience with Infrastructure as Code (IaC) and deployment automation tools such as Terraform, Helm Charts, and Kubernetes Operators.