AWS Data Engineer
Vacancy expired!
Key Skills:- Spark, AWS, Kubernetes, with Snowflake exposureAWS Data Engineer with Spark, Kubernetes, with Snowflake backgroundExperience must be 10+ yearsDescription:Overall, 10 + years of experience with 3-4 yrs in AWS architecture
- Responsible to ensure success in building and migrating applications, software and services on the Snowflake, AWS platform
- Participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
- Mentor, capture and share best-practice knowledge amongst the AWS professional services team.
- Troubleshoot performance degradation or loss of service as time critical incidents
- Building customer solutions, leveraging automation and delivery mechanisms for efficiency and scalability
- Ownership of issues, including collaboration with other teams and escalations and other duties as assigned.
- 10 years of design, implementation, or consulting experience with distributed applications or systems architecture
- 5 years of experience in infrastructure architecture, database architecture and networking
- Working knowledge of software development tools and methodologies
- AWS knowledge
- Understanding Knowledge of Scripting and Automation tools
- Lambda, CloudFormation, Terraforms, Ansible
- PowerShell/ Python/ Yaml scripting
- GIT, maven, nexus, packer