Data Integration Specialist

As a Data Integration Developer at our award-winning team, you will play a crucial role in constructing and managing cloud-based data pipelines that support AI and Intelligent Document Automation services. Your efforts will contribute to the development of scalable, production-grade workflows that convert structured and unstructured documents into actionable data using cutting-edge machine learning solutions. - Design, develop, and maintain end-to-end data ingestion and integration pipelines on Google Cloud Platform (GCP). - Implement robust workflows encompassing document ingestion, file triggers, downstream ML integration, and storage in services like BigQuery. - Integrate and manage RESTful APIs and asynchronous job queues to facilitate ML/OCR services. - Collaborate with AI/ML teams to deploy and scale intelligent automation solutions. - Containerize services using Docker and oversee deployments through Cloud Run and Cloud Build. - Ensure production readiness through monitoring, logging, and observability best practices. - Utilize Infrastructure-as-Code tools such as Terraform for provisioning and maintaining environment consistency. - Engage in Agile/Scrum teams, contributing to sprint planning, reviews, and backlog refinement. Qualifications Required: - 7+ years of experience in data integration, cloud data engineering, or backend development. - Proficiency in Python, REST APIs, and managing asynchronous workloads. - Hands-on experience with Google Cloud Platform (GCP) services like Pub/Sub, Cloud Storage (GCS), BigQuery, Cloud Run, and Cloud Build. - Familiarity with Docker, managing containerized microservices, and Infrastructure-as-Code tools like Terraform. - Exposure to AI/ML integration, OCR pipelines, or document understanding frameworks is advantageous. - Experience with CI/CD pipelines and automated deployment workflows. Preferred Qualifications: - Knowledge of data formats like JSON, XML, or PDF parsing. - Previous involvement in document processing, intelligent automation, or ML Ops projects. - GCP certification (e.g., Professional Data Engineer or Associate Cloud Engineer) is a plus. Join our team to work on critical AI and automation products that have a direct impact on real-world applications. Benefit from a collaborative, learning-focused environment that offers growth opportunities in AI/ML and Cloud technologies. Experience: 7 to 12 Yrs Location: Chennai/Pune/Coimbatore/Bangalore Notice: Immediate to 1 Week Thank you for considering a career with KANINI Software Solutions.,