Senior Data Engineer

Senior Data EngineerWe are seeking a highly skilled Senior AWS Data Engineer with expertise in Fivetran, AWS Glue, Python, SQL, and cloud-native data engineering. The ideal candidate will be responsible for building scalable data ingestion and transformation frameworks, enabling analytics, data products, and AI-driven initiatives across the enterprise. Exposure to Amazon Bedrock and modern GenAI architectures is highly desirable.Key ResponsibilitiesDesign, develop, and maintain enterprise-scale data pipelines using AWS services.Implement and manage data ingestion frameworks using Fivetran.Develop ETL/ELT workflows using AWS Glue and PySpark.Build and optimize data lake solutions on AWS.Perform source-to-target mapping and support data migration initiatives.Implement data quality, validation, reconciliation, and monitoring frameworks.Develop reusable pipeline patterns and automation frameworks.Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.Support AI and GenAI use cases by preparing and managing high-quality datasets.Follow DataOps, CI/CD, governance, and security best practices.AWS TechnologiesAmazon S3AWS GlueLambdaIAMCloudWatchEventBridgeStep FunctionsData EngineeringETL / ELT DevelopmentData WarehousingData Lake ArchitectureSource-to-Target MappingData Quality FrameworksPipeline AutomationPerformance OptimizationDevOps / DataOpsGitCI/CD PipelinesAgile DeliveryInfrastructure AutomationPreferred SkillsAmazon BedrockRetrieval-Augmented Generation (RAG)Prompt EngineeringSnowflakedbtApache AirflowData Catalog & GovernanceAmazon TextractAI/ML Integration and Data PreparationDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.