Data Engineer

Data EngineerLocation: Phoenix, AZ Contract: 6-8 MonthsQualifications:We are looking for a Data Engineer with expert-level experience in AWS-native data platforms and NoSQL technologies including MongoDB, DynamoDB, Amazon S3, Terraform, and IaC best practices. Logging and monitoring with AWS CloudWatch and Dynatrace are also required. Advanced technical expertise across cloud infrastructure, networking, and security is necessary. A strong understanding of access control and data lifecycle management is essential. High-level critical thinking, problem-solving, and self-directed work style are also required.Responsibilities:You'll work on ingesting, storing, and optimizing data pipelines across MongoDB, DynamoDB, and Amazon S3, supporting large-scale enterprise data workloads. Design and implement data storage and processing strategies using MongoDB, DynamoDB, and S3. Build data pipelines that support ingestion from streaming sources like Kafka and Kinesis. Optimize data models for performance and scalability within distributed systems. Define infrastructure using Terraform and manage deployments in AWS. Ensure robust logging, monitoring, and alerting with CloudWatch, X-Ray, and Dynatrace. Collaborate with architects, developers, and platform engineers to maintain high data quality and availability. Lambda, Java/Spring Boot integration with NoSQL.