Consultant ML & DataOps at Smile integrating data science projects for major clients. Designing MLOps solutions and enhancing data governance in a collaborative environment.
About the role
- AWS Streaming Data Engineer developing software and systems in a fast, agile environment. Utilizing experience with real-time data ingestion and processing systems across distributed environments.
Responsibilities
- resolve problems with complete end-to-end streaming solutions in a fast, agile environment
- develop software and systems from vision to production-ready
- utilize experience with real-time data ingestion and processing systems operating across distributed environments
- identify needed system improvements
- help clients overcome difficult challenges using the latest architectural approaches, tools, and technologies
Requirements
- 5+ years of experience in software with a cloud-first development approach
- 4+ years of experience with enterprise data engineering development, including geospatial data
- 3+ years of experience with AWS services and cloud-native architecture patterns, including ECS / EKS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security
- 3+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation
- Experience working with ETL / ELT pipeline development using AWS services
- Experience with API design and versioning for distributed streaming systems, including Apache Kafka
- Experience developing and deploying production geospatial solutions from concept to O & M
- TS/SCI clearance with a polygraph
- Bachelor's degree
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards for exceptional performance
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