Senior AWS Data Engineer

Role Overview:

• The 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 & Skillsets:

• Common Skillsets:
  • Superior analytical and problem solving skills
  • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
  • Good communication skill for client interaction

Application development Skillsets:

• Ability to debug, optimize code, and automate routine tasks
• A systematic problem-solving approach coupled with a strong sense of ownership and drive
• Ability to quickly pickup and understand where newly released cloud services would be appropriate for business applications
• Experience with infrastructure automation tools such as Puppet, Ansible, CloudFormation, or Terraform
• Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools
• Experience using Git for source control management
• Ability to proficiently write code in Python, Node.js, Bash (shell), PowerShell, or other similar languages
• Experience using Docker within container orchestration platforms such as AWS ECS, EKS, Google Anthos, or others
• Comfortable in a Linux environment
• Understanding 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 SCPs
• Familiar with ETL and big data tool-chains such as those provided by Hadoop/EMR, Glue, Spark, Impala, or similar
• Understanding of relational database systems and how applications interact with them
• Familiarity with one or more log and event aggregation and monitoring systems such as Splunk, Elasticsearch (ELK), Prometheus, Grafana, or similar

Candidate Profile:

• Bachelors/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply
• 7+ years experience in AWS Data Engineering, preferably in Life Insurance but not mandatory
• Application development experience
• Team Management
• Superior analytical and problem solving skills
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
• Is able to understand cross cultural differences and can work with clients across the globe
• Preferably based out of the New Jersey area with at least two days of work from office at the clients location