Senior Data Engineer

Position: Senior Data Engineer Location: Pune Job Responsibilities Design, develop, and maintain scalable data pipelines using AWS services. Design and implement scalable, secure, and resilient MLOps architecture across cloud and on-prem environments Define best practices for model lifecycle management, including versioning, deployment, monitoring, and governance Lead the selection and integration of tools for CI/CD, model registry, feature store, and data pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, software developers, and DevOps teams Mentor junior engineers and promote a culture of continuous learning and innovation Translate business requirements into scalable AI/ML solutions Evaluate emerging technologies and frameworks to enhance MLOps capabilities Ideal Candidate Will Have Strong, hands-on experience in data engineering — pipelines, cloud infrastructure, data architecture, and production-grade deployments Demonstrated experience with cloud platforms (AWS required; Azure and/or GCP a strong plus) Comfort working in AI and agentic AI contexts — experience with LLM infrastructure, agent frameworks, evaluation pipelines, or observability tooling is highly valued Proficiency in Python and modern data/ML engineering tooling Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems Ability to operate across the full stack — from raw data through model serving infrastructure 7+ years of progressive data engineering experience, with demonstrated growth in scope and technical ownership. Track record of leading technical projects or workstreams, not just executing within them. Experience in distributed or global team environments is a plus