Senior AWS Data Engineer

Senior AWS Data EngineerNewark, New Jersey, United StatesRole OverviewThe person will be part of the Global Technology team for a major Insurance client. He/ She will work as a Senior Cloud Engineer within the CDO EDP team and will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power mission-critical applications, ensuring that they are engineered for high availability, durability, and resiliency.They will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond. The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion. A suitable candidate should have 8+ years of IT experience with at least 5+ years of experience working as an AWS Data Engineer. He/ She should be able to deal with ambiguity. Experience in life insurance preferred but not mandatory.Key Responsibilities & SkillsetsCommon Skillsets:Superior analytical and problem solving skillsShould be able to work on a problem independently and prepare client ready deliverable with minimal or no supervisionGood communication skill for client interactionApplication development Skillsets:Ability to debug, optimize code, and automate routine tasksA systematic problem-solving approach coupled with a strong sense of ownership and driveAbility to quickly pickup and understand where newly released cloud services would be appropriate for business applicationsExperience with infrastructure automation tools such as Puppet, Ansible, CloudFormation, or TerraformWorking knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable toolsExperience using Git for source control managementAbility to proficiently write code in Python, Node.js, Bash (shell), PowerShell, or other similar languagesExperience using Docker within container orchestration platforms such as AWS ECS, EKS, Google Anthos, or othersComfortable in a Linux environmentUnderstanding of foundational AWS services such as VPCs, EC2, S3, RDS, Auto Scaling Groups, CloudWatch Logs, etc.In-depth knowledge of security and IAM within AWS, including the management and operation of Security Groups, KMS Keys, VPC NACLs, and SCPsFamiliar with ETL and big data tool-chains such as those provided by Hadoop/EMR, Glue, Spark, Impala, or similarUnderstanding of relational database systems and how applications interact with themFamiliarity with one or more log and event aggregation and monitoring systems such as Splunk, Elasticsearch (ELK), Prometheus, Grafana, or similarCandidate ProfileBachelors/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply7+ years experience in AWS Data Engineering, preferably in Life Insurance but not mandatoryApplication development experienceTeam ManagementSuperior analytical and problem solving skillsOutstanding written and verbal communication skillsAble to work in fast pace continuously evolving environment and ready to take up uphill challengesIs able to understand cross cultural differences and can work with clients across the globePreferably based out of the New Jersey area with at least two days of work from office at the clients locationOr refer someone