AWS Data Engineer - US
AWS Data Engineer - US
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Job Description
Role: AWS Data Engineer
Location: Newark NJ (Hybrid)
Duration: Fulltime
Job Description:
Experience: 814 Years
Musthave
- AWS (4 YOE) S3 Glue Lambda Redshift Step functions Cloudformation/Terraform SNS CloudWatch
- Python Related to data engineering
- Pyspark
- SQL
Goodtohave:
- AWS Lakeformation DataBrew SQS SES
- Understanding of enterprise level and multitenant 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 oneonone with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power missioncritical applications ensuring that theyre 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:
o Superior analytical and problem solving skills
o Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
o Good communication skill for client interaction
Application development Skillsets:
o Ability to debug optimize code and automate routine tasks
o A systematic problemsolving approach coupled with a strong sense of ownership and drive
o Ability to quickly pickup and understand where newly released cloud services would be appropriate for business applications
o Experience with infrastructure automation tools such as Puppet Ansible CloudFormation or Terraform
o Working knowledge of pipelineautomation tools such as Jenkins CodePipeline Azure DevOps or other comparable tools
o Experience using Git for source control management
o Ability to proficiently write code in Python Node.js Bash (shell) PowerShell or other similar languages
o Experience using Docker within container orchestration platforms such as AWS ECS EKS Google Anthos or others
o Comfortable in a Linux environment
o Understanding of foundational AWS services such as VPCs EC2 S3 RDS Auto Scaling Groups CloudWatch Logs etc.
o Indepth knowledge of security and IAM within AWS including the management and operation of Security Groups KMS Keys VPC NACLs and SCPs
o Familiar with ETL and big data toolchains such as those provided by Hadoop/EMR Glue Spark Impala or similar
o Understanding of relational database systems and how applications interact with them
o Familiarity with one or more log and event aggregation and monitoring systems such as Splunk Elasticsearch (ELK) Prometheus Grafana or similar
Candidate Profile:
Bachelors/Masters 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
Employment Type
Full Time
