Job Description
Candidate must be AWS Certified.
Must have Terraform Exp.
- Must have more than 15 years of experience in developing applications using AWS cloud native stack.
- Must have experience working with AI/ML applications including AWS Sagemaker Azure AI Studio and Azure cognitive services.
- Must have experience working with AWS or Azure cognitive services. Experience in architecture and implementation of large and highly complex projects and Data science projects including AWS Bedrock.
- Expertise in defining architecture high level design low level design developing solutions in AWS Cloud.
- Utilizing services like AWS Lambda API Gateway and exposure to developing serverless applications.
- Expertise in designing data processing and visualization with Python Tableau.
- Experience in monitoring & Observability.
- Knowledgeable working in SQL and NoSQL database optimizing & tuning queries tables.
- Ability to perform quick discovery work and POCs with business in data engineering tasks.
- Nice to have scripting knowledge with Shell or Python. Exposure to Devops and CI/CD pipeline technologies including EKS Kubernetes S3 automations EC2 GPU Machines Python Terraform RDS FinOps.
- Expertise on CICD and Devops using Gitops Bitbucket driven automations.
- Maintain and improve data integration pipelines for performance.
- Domain knowledge in Pharma life sciences and drug discovery will be value add.
- Ability to create estimation and plan for deliverables.
- Experience in scrum/agile framework and methodology
- Work with crossfunctional teams to ensure quality throughout the software development lifecycle drive technical requirements sessions scrum calls.
- Collaborate with development QA team in developing effective strategies test plans and deliver products to business
- Excellent communication skills and Attention to details
- Analytical mind and problemsolving aptitude