Inizio Partners
About the job 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
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