Aws Data lake
Malvern, PA - Hybrid Must
Must Skills : Data Lake, Python, AWS Servces, Docker, Kubernetes.
shyam@hanstaffing.com
This is a major platform initiative that will set the pace and direction for Analytics in Vanguel
Data Lake 2.0 is a multi-year program aimed at modernizing legacy analytics platforms. As we mead away from legacy platforms, there remains a gap for analytics in the cloud. That means it takes longer than necessary for analytics teams to find the data they need to do their jobs. Once they find data, access can be challenging.

In this role, you will:
Work with serverless cloud services to create integrations, API endpoints, and related components
Work on features and POCs with industry-leading technologies and tools
Work on greenfield space to shape the modernization efforts for the analytics ecosystem
Create automated tests for functional, performance, and security to ensure flexibility over time.
Work alongside multiple lines of business and platform teams
Create custom integrations between existing Vanguard tools, AWS components, and vendor products.

Qualifications
About you:
You care about software quality and maintainability
You have an interest in serverless architecture
Application Engineering & Programming: Python - 5+ years' experience
Unit testing - PyTest
Advanced Python knowledge
5+ years' experience with Infrastructure as a Service
3+ years' experience with building serverless applications
AWS Core Services: Cloudformation, Step Functions, DynamoDB, S3, Glue, Athena
AWS Serverless Infrastructure: Lambda, SQS, SNS, EventBridge, API Gateway, Application Load Balancer

Nice to have:
AWS Associate or Professional Certification
Docker & Kubernetes