Data Integration

As a Data Integration Developer, you will play a crucial role in building and maintaining cloud-based pipelines that drive intelligent document automation and AI services. Your responsibilities will include designing and implementing end-to-end data workflows, starting from file ingestion and trigger mechanisms to integrating with ML services and storage layers. This position is essential for enabling reliable and scalable AI-driven solutions that handle structured and unstructured documents, producing structured outputs for operational purposes. Collaboration with data scientists, cloud engineers, and product owners is a key aspect of this role to ensure seamless integration, observability, and readiness for production of each component within the pipeline. Your primary skills should include proficiency in Python, REST APIs, and asynchronous job handling. Additionally, a strong working knowledge of Google Cloud Platform services such as Pub/Sub, GCS, Cloud Run, BigQuery, and Cloud Build is required. Experience with Docker for deploying containerized services, familiarity with Infrastructure-as-Code tools like Terraform, and automated deployment workflows are also expected. Exposure to integrating AI/ML services or OCR pipelines would be considered a strong advantage. The ideal candidate should have 5.1 to 8 years of experience in a similar role. This position is available in Chennai, Coimbatore, Bangalore, and Pune, and is a full-time job with a day shift schedule that requires in-person work. In summary, as a Data Integration Developer, you will be instrumental in ensuring the smooth operation and efficiency of cloud-based pipelines that power intelligent document automation and AI services, contributing to the development of cutting-edge solutions for structured and unstructured data processing.,