Data Integration Engineer

The Integration Engineer leads the transformation of legacy point-to-point system integrations into a modern, scalable, and event-driven ecosystem. This role is instrumental in designing, developing, and deploying integration solutions that power our enterprise applications and data platforms.

Requirements

Design and implement scalable and reliable integration solutions using Confluent Kafka with pub/sub messaging pattern and related technologies. Collaborate with cross-functional teams to define integration requirements, standards, and best practices. Develop and maintain APIs and integration services using modern programming languages (e.g., Java, Python, Node.js). Work with DevOps and Cloud teams to deploy integration solutions using CI/CD pipelines and containerized environments. Maintain comprehensive documentation of integration flows, schemas, and service contracts. Champion the adoption of event-driven architecture principles across the organization. Responsible for development, testing, deployments and implementing integration processes in various environments Experience on Azure DevOps to build the solutions and implement CI/CD change release strategy Work with Operations teams to minimize the production issues/bug fixes to improve productivity Develop and maintain processes which help minimize manual efforts and improve operational efficiencies’ in integrations space to contribute to continuous improvement Contribute strategically to consolidate and leverage existing applications to streamline business processes and reduce overhead Communicate effectively with senior management and all users of information services and system Oversight and accountability for all integration flows and data quality ensuring SLAs are met Performs other related duties and activities as required.

Benefits

Generous Paid Time Off 401k Matching Retirement Plan Relocation Assistance Originally posted on Himalayas