AWS Data Engineer

Hi, Job Title – AWS Data Engineer and Google Cloud Platform Data Engineer Location – Los Angeles, California Duration Fulltime Job Description The responsibilities of this position include, but are not limited to, the following functions in the Architecture Engineering organization Utilize technical skills and tools to coordinate, maintain, enhance, and deploy cloud-based solutions while following corporate standards and best practices Work within a DevOps team to meet project objectives in a timely fashion Update project status reports (progressrisksissuesroadblocks) as required by Senior Management Use DevOps methodology and toolsets to implement and support solutions in AWS, Azure, and Google Cloud Platform Implement proposed solutions to ensure the delivery of a quality product or service Ensure cloud resources meet UMGrsquos operational requirements and are in compliance with UMG infrastructure and security standards Provide documentation and communication to peers and other IT Teams for status, coordination, objectives, and performance Oversee vendors work efforts on implementations Compile and remediate vulnerabilities identified by the securities team Assess and troubleshoot, consult with vendors, and coordinate with other teams for problem resolution Ensure high work standards regarding incident and change management tasks Other tasks as deemed necessary or appropriate SkillsAbilities Proven experience with Amazon AWS, Google Cloud Platform, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent) Proficient usage and management of Linux and Windows technology stacks (Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, .NET, and more) Skill configuring and administering different distributions of Linux (Amazon Linux, Ubuntu, Red Hat Enterprise Linux, SLES) Proficiency with serverless technologies (K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway) Solid understanding of key cloud design concepts such as ldquoHigh Availabilityrdquo (HA), ldquoElastic Load Balancingrdquo (ELB), Principle of Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling Working knowledge and demonstrated experience with key AWS specific technologies including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda Working knowledge and demonstrated experience with key Google Cloud Platform specific technologies including Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions Clear understanding that implementation of security principles and tools is not ldquooptionalrdquo Solid grasp and usage of version control and release management concepts and tools, particularly Git (Github SVNBitbucket) for code branching and merging Use DevOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex) Build and support solutions using both serverless and server-based infrastructure in AWS, Azure, and Google Cloud Platform cloud environments Follow deployment practices using CICD Processes and Technologies Experience 2 years minimum Experience in delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams. Extensive experience in technical server and Enterprise storage management All 3 leading cloud providers (AWS, Azure, Google Cloud Platform) UMG primary DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack) UMG primary serverless technologies (k8s, GKE, EKS, Lambda, RDS) UMG primary VM technologies (EC2, Dedicated Instances, Compute Engine) Scripting languages (Python, PowerShell, Golang, AWS CLI, Google Cloud Platform CLI, Bash) AWS Linux, Ubuntu Linux, and SLES Linux administration Windows administration Kubernetes (K8s) and related toolsets (K8s, EKS, GKE, Grafana, Prometheus, Cortex) Other tools Dynatrace, Azure AD, Intune, SEP, Redlock, Prisma Cloud, SAP, GoAnywhere) Education BA or BS degree in an IT related field or an equivalent combination of formal education and applicable experience required MCSE, AWS, Google Cloud Platform and UNIX certifications strongly preferred Thanks Regards, Mohammed Abdul Wasie abdulw(at)sightspectrum(dot)com

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