AWS Data zone
5 days ago
Atlanta, GA and Minneapolis, MN
Contract
Key Requirements:
- Experience: Excellent years of experience in data management, data governance, or cloud architecture, with specific experience working with AWS services.
- Expertise in AWS DataZone: Deep understanding of AWS DataZone, including deployment, data cataloguing, access management, and integration with other AWS services.
- Design and build CI/CD-enabled MLOps pipelines to manage the end-to-end ML lifecycle: data prep, training, model deployment, monitoring, and retraining.
- Use AWS CDK to manage infrastructure-as-code across data and ML workflows (e.g., SageMaker, Lambda, S3, Glue, DataZone, Step Functions).
- Collaborate with Data Engineers, MLOps Engineers, Data Scientists, and Security teams to design end-to-end solutions.
- Drive adoption of reusable CDK constructs/modules for consistent deployment and governance of data and ML services.
- Technical Skills: Strong skills in scripting and automation (Python, Terraform, AWS CLI) and experience in managing large datasets.
- Communication & Leadership: Ability to communicate technical solutions to both technical and non-technical stakeholders and provide leadership on data governance strategies.
- AWS Certifications (AWS Certified Solutions Architect, AWS Certified Big Data - Specialty, etc.)
- Experience with DataOps and DevOps methodologies.
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