Project Role : Integration Engineer
Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements.
Must have skills : Extensible Stylesheet Language XSL
Good to have skills : Apache NiFi
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
An Integration Engineer specializing in Apache NiFi is responsible for designing, developing, and operating data flows and integration
pipelines that enable secure, reliable, and scalable applicationtoapplication (A2A) communication.
The role requires strong expertise in NiFi flow design, data transformation, and operational reliability within distributed, cloud or hybrid
environments.

Roles & Responsibilities:
Design, build, and maintain NiFi dataflows for application, system, and data integrations.
Implement routing, transformation, enrichment, filtering, and orchestration patterns.
Leverage NiFi processors, custom scripts, and templates to create reusable integration components.
Deploy, monitor, and troubleshoot NiFi flows in production environments.
Ensure high availability, backpressure management, performance tuning, and load balancing within NiFi clusters.
Handle versioning, configuration, and lifecycle management via NiFi Registry.
Apply security best practices: SSL/TLS, authentication, authorization, encryption, sensitive data handling.
Ensure data governance standards and auditability across data flows.
You will take part in on-call 3rd level support to ensure the platform remains highly available, reliable, and responsive to user
needs

Professional & Technical Skills:
Strong hands-on experience with Apache NiFi (flow design, templates, processors, NiFi Registry).
Knowledge of Enterprise Integration Patterns (EIP) and dataflow architecture.
Experience with REST APIs, JSON/XML/XSLT transformation, scripting (Python, Bash, Groovy).
Experience with working in a Cloud-environment (AWS preferred).
Familiarity with Kafka, message queues, event streaming, and data pipelines.
Understanding of security concepts, including certificates, authentication, authorization, and encrypted flows.
Proficiency in Linux, CI/CD pipelines, automation, and monitoring.
Troubleshooting and analytical skills for distributed flow environments.
Enjoy guiding and coaching developers from user-teams to use Apache Nifi

Additional Information:
- The candidate should have minimum 3 years of experience in Extensible Stylesheet Language XSL.
- This position is based at our Chennai office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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