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AWS Data Engineer - US
6AM City
- New York, New York, United States
- New York, New York, United States
À propos
Location: Newark, NJ (Hybrid)
Duration: Fulltime
Experience: 8-14 Years
Must-have
AWS (4+ YOE) S3, Glue, Lambda, Redshift, Step Functions, CloudFormation/Terraform, SNS, CloudWatch
Python related to data engineering
Pyspark
SQL
Good-to-have
AWS - Lakeformation, DataBrew, SQS, SES
Understanding of enterprise level and multi-tenant architecture.
Job Responsibilities 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
Can work independently on a problem and prepare client‑ready deliverable with minimal or no supervision.
Good communication skills 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 pick up 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
Bachelor's/Master's degree in computer science/engineering, operations research or related analytics areas
7+ years of experience in AWS Data Engineering, preferably in Life Insurance but not mandatory
Application development experience
Team Management experience
Superior analytical and problem solving skills
Outstanding written and verbal communication skills
Ability to work in a fast‑paced continuously evolving environment and ready to take on uphill challenges
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 client’s location
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Compétences linguistiques
- English
Avis aux utilisateurs
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