Senior AWS Python Data Engineer

ResponsibilitiesCollaborate with Data Scientists and Platform Engineers to build scalable ML and data systemsDevelop and maintain high-performance, distributed data pipelines and machine learning infrastructureConvert machine learning models into production-ready services and APIsAutomate model training, validation, deployment, and inferencing pipelinesDesign fault-tolerant, secure, and cost-effective cloud-native architectures using AWS servicesImplement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDKBuild CI/CD pipelines for deployment and testing automationEstablish software engineering best practices including modularity, reusability, test coverage, and documentationRequirements5+ years of professional experience developing backend systems using PythonStrong background in building and optimizing large-scale data pipelines and distributed systemsExperience deploying machine learning models and managing ML workflows in productionSolid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CDFamiliarity with object-oriented and functional programming practicesExperience developing RESTful APIs and microservicesProven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and AthenaInfrastructure as Code experience using CloudFormation, Terraform, or AWS CDKExperience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plusPreferred QualificationsPrior experience working with machine learning operations (MLOps) or AI platform teamsKnowledge of knowledge graph construction and semantic modelingBackground in big data environments and real-time data processing frameworksCloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractJ-18808-Ljbffr