Data Engineer - Oracle

Data Lake 2.0 Developer Data Lake 2.0 is a multi-year program aimed at modernizing legacy analytics platforms. As we move 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. Working in this team will require a developer who is strong in both WebApp and DevOps principles to help create a modernized platform that will be in use by Analysts and Data Engineers. The deliverables will help data consumers and users manage “Data Products” by creating and registering their DataLake databases/tables into a centralized hub that will allow for ease of discovery, governance, and maintainability. In this role you will: Work with serverless cloud services to create integrations, APIs 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 in order 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. Skillset and Experience: Technological requirements include 3+ years’ development experience and familiarity with the following tools AWS Core Services: Cloudformation, DynamoDB, S3, Glue, Athena, Kinesis, Firehose AWS Serverless Infrastructure: Lambda, SQS, SNS, EventBridge, API Gateway Scripting & Programming: Python, React, TypeScript, Java MUST have a background in Oracle. The team only has 2 individuals who know Oracle. Samprasoft