System Integration Engineer

Roles & Responsibilities

• Minimum 8 years of hands-on experience with integration technologies.
• Must be able to design and implement various integration models such as entity to entity, system to system etc.
• Should be independent and hands-on.
  

Proven Skills And Expertise In
Technical Skills

• Common system integration methods and technologies including Web services, SOAP, JSON, XML Schema Definition (XSD), Extensible Markup Language (XML) etc.
• Middleware integration technologies (ESB (Enterprise Service Bus), GSB (Government Service Bus), Azure Service Bus, MuleSoft, TIBCO, WSO2 API Manager, Integration Studio)
• Microservices based architecture
• Docker and Kubernetes
• RabbitMQ, ActiveMQ
• Multi-Threading
• Programming languages like .NET core, JAVA

System Design and Architecture:

• Design integration solutions that connect different systems, ensuring data flows smoothly between them.
• Work with various teams to define integration requirements, including understanding business processes, existing systems, and data sources.
• Develop the architecture for system integration, selecting the appropriate technologies, tools, and methods to ensure scalability, reliability, and performance.

Integration Development:

• Implement system integrations, using tools such as APIs, middleware, web services (REST, SOAP), ETL (Extract, Transform, Load) processes, and message queues to facilitate communication between different systems.
• Develop and configure integration interfaces to link disparate systems such as ERP, CRM, databases, or third-party services.
• Write custom code, scripts, or leverage integration tools (like MuleSoft, Apache Camel, or Dell Boomi) to ensure smooth data exchange.

Data Mapping and Transformation:

• Work on data mapping and transformation tasks to ensure the data from one system is correctly formatted for use by another system.
• Implement and optimize data transformations, aggregations, and validation rules to ensure accurate and consistent data flow.

Testing and Validation:

• Conduct unit and integration testing to ensure that integration solutions function as intended.
• Troubleshoot integration issues, such as data mismatches, latency problems, or system failures, and resolve them effectively.
• Ensure the solution is tested under real-world conditions to verify it meets the required business needs.

System Monitoring and Maintenance:

• Set up monitoring for integrated systems to track performance, reliability, and error handling.
• Troubleshoot and resolve issues arising in the integration pipeline, ensuring minimal downtime and performance degradation.
• Provide ongoing support for systems post-deployment, ensuring they remain operational and efficient.

Collaboration with Cross-functional Teams:

• Collaborate with different teams, such as developers, network engineers, business analysts, and project managers, to ensure integration efforts align with business objectives.
• Coordinate with external vendors or third-party service providers for the integration of external systems, applications, or services.

• System Integration Knowledge:

  • Strong knowledge of integration methods and tools, such as APIs, Web Services (SOAP/REST), ETL, Message Queues, and Middleware.
  • Familiarity with integration platforms like MuleSoft, Apache Camel, Dell Boomi, SAP PI/PO, or IBM Integration Bus.

• Programming and Scripting:

  • Proficiency in programming and scripting languages such as Java, Python, JavaScript, SQL, or Ruby to write custom integration code.
  • Experience with automation scripting tools to support integration tasks.

• Data Integration and Transformation:

  • Strong understanding of data transformation and mapping techniques, including data types, formats, and how to convert data between systems.
  • Experience with ETL processes and tools (e.g., Informatica, Talend, Apache Nifi).

• Cloud and On-Premise Integration:

  • Familiarity with integrating cloud-based systems (e.g., AWS, Azure, Google Cloud) with on-premise applications and services.
  • Knowledge of cloud integration tools, like AWS Lambda, Azure Logic Apps, or Google Cloud Pub/Sub.

• Database and Data Management:

  • Experience with SQL and NoSQL databases for handling data integration tasks.
  • Knowledge of database design, data modeling, and data consistency across systems.

• Testing and Debugging:

  • Expertise in testing and debugging integration solutions using various testing methodologies and tools.
  • Ability to isolate and resolve issues such as data mismatch, missing records, or system connectivity issues.

• Middleware and Message Brokers:

  • Experience with middleware solutions and message brokers such as Apache Kafka, RabbitMQ, or IBM MQ.
  • Understanding of message-oriented middleware to facilitate asynchronous communication between systems.

• Business Process Understanding:

  • Familiarity with understanding business requirements and translating them into technical integration solutions.
  • Knowledge of business process management and how integration impacts business operations.

• Security and Compliance:

  • Understanding of security principles, including encryption, authentication, and authorization, to ensure data security during integration.
  • Knowledge of regulatory requirements (e.g., GDPR, HIPAA, SOX) and how they apply to integration efforts.

• Version Control and DevOps Practices:

  • Experience with version control systems like Git, as well as DevOps practices to manage and deploy integration code efficiently.
  • Familiarity with CI/CD pipelines to automate the integration testing and deployment process.