Exp : 10yrs to 17yrs Extensive experience in implementation & management of data, analytics & AI platforms. Extensive experience in CloudOps, DevOps, DataOps, and infrastructure setup and maintenance. Solid understanding of BI landscape, data warehouse solutions including cloud data warehouses such as Snowflake. Strong experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Good communication and interpersonal skills with experience in Agile development methodologies. Influencer and negotiator who can align executives and senior collaborators to a shared vision. Relevant technical degree or equivalent. AWS experience with EC2, S3, IAM, DynamoDB, Lambda, RDS, ECR, Networking. GitHub Actions Development Build and maintain GitHub Actions developed in-house. Python. IaC with Terraform. GitHub reusable workflows. Linux. Proven track record in engineering technologies with the ability to connect technology to business value. Strong communication skills with teams, peers, and third-party suppliers. Ability to develop and champion innovation opportunities. Experience managing/delivering engineering technology aspects of projects/technology developments. Ability to work in diverse multinational teams. Experience in Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, SonarQube. Knowledge of Lean design processes. Experience in Data Foundation technologies (e.g., Snowflake, dbt, Data Catalogue like Collibra). Desirable Skills/Experience,
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Software / General IT Functional Area: Not Specified Role/Responsibilies: AWS Cloud Engineering Lead Job in Live