IN_Senior Associate_Integration Engineer _Data and Analytics_Advisory_Bangalore

Job Description & Summary:  

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities: 

This role is accountable for: 

• Designing and Implementing Integrations: Build, deploy, and maintain integrations using cloud-native services (AWS, GCP) and middleware tools. 

• API and Event-Driven Architectures: Develop and manage APIs, API gateways, and Kafka-based event streaming solutions for real-time data processing. 

• Scalability and Performance Optimization: Ensure integrations are robust, secure, and optimized for performance and cost-effectiveness. 

• Monitoring and Troubleshooting: Proactively identify and resolve integration failures, ensuring system reliability and minimal downtime. 

• Collaboration and Documentation: Work with cross-functional teams to understand integration needs and maintain clear technical documentation. 

Mandatory skill sets: 

‘Must have’ knowledge, skills and experiences  

• Strong understanding of CI/CD pipelines and Infrastructure as code principles such as Terraform. 

• Experience with CI/CD tooling such as GitHub, Jenkins, Codefresh , Docker, Kubernetes. 

• Experienced in building RestFul API’s using Java (Springboot). 

• Experienced in AWS development environment and ecosystem 

• Cloud native and digital solutioning leveraging emerging technologies incl. containers, serverless, data, API and Micro-services etc 

• Experience with measuring, analysing, monitoring, and optimizing cloud performance including cloud system reliability and availability 

• Understanding of storage solutions, networking, and security. 

• Strong Familiarity with cloud platform specific Well Architected Frameworks 

• Production experience of running services in Kubernetes. 

Preferred skill sets: 

‘Good to have’ knowledge, skills and experiences  

• The ‘good to have’ knowledge, skill and experience (KSE) the role requires are:  

• Multi-Cloud Experience: Exposure to both AWS and GCP integration services and the ability to work across different cloud providers. 

• Message Queue Systems: Experience with messaging systems like RabbitMQ, ActiveMQ, or Google Cloud Pub/Sub  

• Serverless Architectures: Hands-on experience with serverless computing and event-driven workflows. 

• Observability and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, AWS CloudWatch, or GCP Stackdriver. 

• Security Best Practices: Understanding of cloud security, encryption, and compliance frameworks (e.g., IAM policies, SOC2, GDPR). 

• Testing and Automation: Knowledge of API testing frameworks (Postman, Karate, or REST Assured) and automation testing for integrations. 

• Kubernetes and Containerization: Experience deploying and managing integrations in containerized environments using Kubernetes (EKS/GKE). 

• Networking Concepts: Understanding of VPCs, private link, service mesh, and hybrid cloud connectivity. 

• Knowledge of ANZ Retail and Commercial Banking Systems: Familiarity with ANZ banking technology ecosystems, core banking platforms, payment systems, and regulatory requirements. 

Years of experience required: 

• 7 to 8 years (2-3 years relevant) 

Education qualification: 

• BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)