Senior Big Data Engineer

Identify necessary improvements in the AWS architecture to align with the AWS Well-Architected Framework and Best Practices Research, present and accurately articulate benefits and goals of technologies such as Teradata, Big Data, Hadoop, NoSQL, Data Virtualization, and Data Services. Monitor Performance for effective use of AWS resources Oversee Provisioning of AWS architecture components Ensure Architectural standards are followed Three or more years of experience in architecting, designing, developing, and implementing cloud solutions on AWS platforms Providing support to maintain, optimize, troubleshoot, and configure the AWS/spark/Hadoop environment as needed Experience with CI/CD pipelines, unit tests, integration, and regression testing Good experience with AWS VPC setup, Security Groups, IAM roles and policies. (Mandatory) Linux System administration is preferred Skills AWS Automation (DevOps knowledge) is must. Strong scripting skills in bash and python is a must. Strong understanding and working knowledge of Linux, Github and automation Tools like Ansible and (Chef or Puppet) is must Strong knowledge of Infrastructure as a code using tools like CloudFormation or Terraform is must. Experience with Hive, rundeck, Airflow, jenkins and Kafka is must At least 3 year experience with AWS DevOps tools, technologies and APIs associated with IAM, CloudFormation, AMIs, SNS, SQS, EC2, EBS, S3, RDS, VPC, ELB, Route 53, Security Groups and lambda Good experience with LMA (Logging, Monitoring, and Alerting) using monitoring tools EX.AWS CloudWatch, Splunk/ELK, Datadog etc Good experience with Networking Technologies like Load balancer, Firewall and DNS Provide L2, L3 support for Incident management and provide a focal point for AWS 3+ years AWS experience required. Job Type: Contract Pay: $85.00 - $87.00 per hour Benefits: Parental leave Schedule: 8 hour shift Ability to commute/relocate: Seattle, WA 98119: Reliably commute or planning to relocate before starting work (Required) Experience: devops tools: 3 years (Preferred) aws: 3 years (Preferred) Work Location: In person