Data Integration Developer About the Role We are looking for a skilled Data Integration Developer to join our award-winning team that recently earned the "Outstanding Data Engineering Team" award at DES 2025. In this role, you will be instrumental in building and maintaining cloud-based data pipelines that power AI and Intelligent Document Automation services . Your work will directly support scalable, production-grade workflows that transform structured and unstructured documents into actionable data using cutting-edge machine learning solutions. You’ll collaborate cross-functionally with data scientists, AI/ML engineers, cloud engineers, and product owners to ensure robust pipeline design, integration, observability, and performance at scale. Key Responsibilities Design, develop, and maintain end-to-end data ingestion and integration pipelines on Google Cloud Platform (GCP). Implement robust workflows from document ingestion and file triggers to downstream ML integration and storage (e.g., BigQuery). Integrate and manage RESTful APIs and asynchronous job queues to support ML/OCR services. Collaborate with AI/ML teams to deploy and scale intelligent automation solutions. Containerize services using Docker and manage deployments via Cloud Run and Cloud Build . Ensure production readiness through monitoring, logging, and observability best practices . Utilize Infrastructure-as-Code tools (e.g., Terraform) for provisioning and environment consistency. Work in Agile/Scrum teams, participating in sprint planning, reviews, and backlog refinement. Required Skills & Experience 7+ years of experience in data integration, cloud data engineering, or backend development . Strong proficiency in Python , REST APIs, and handling asynchronous workloads . Solid hands-on experience with Google Cloud Platform (GCP) services including: Pub/Sub, Cloud Storage (GCS), BigQuery, Cloud Run, Cloud Build Experience in Docker and managing containerized microservices . Familiarity with Infrastructure-as-Code tools like Terraform . Exposure to AI/ML integration , OCR pipelines, or document understanding frameworks is a strong advantage. Experience with CI/CD pipelines and automated deployment workflows . Preferred Qualifications Knowledge of data formats like JSON, XML, or PDF parsing. Prior experience working on document processing , intelligent automation , or ML Ops projects. GCP certification (e.g., Professional Data Engineer or Associate Cloud Engineer ) is a plus. Why Join Us? Join a recognized leader in data engineering , recently awarded the "Outstanding Data Engineering Team" at DES 2025 . Work on mission-critical AI and automation products that directly impact real-world use cases. Thrive in a collaborative, learning-driven culture with opportunities to grow in AI/ML and Cloud technologies. Experience : 7 to 12 Yrs Location : Chennai/Pune/Coimbatore/Bangalore Notice : Immediate to 1 Week Regards, TA Team KANINI Software Solutions Show more Show less