Temp to Permanent - Redshift Dynamo data analytics AI subject matter expert senior data engineer.
Remote · United States
Job Summary
Senior Data Engineer with SME in data analytics and AI seeking to design, build, test, and automate data solutions within an AWS-driven data stack. You will collaborate with Product Owners, Architects, and other engineers to implement features, validate system-level behavior, and ensure high-quality software in a microservices, event-driven environment. Responsibilities include designing and delivering full-stack data solutions, writing production-grade code in Node.js and Python, building and maintaining ETL pipelines on Redshift Serverless, integrating with AWS services (S3, Lambda, Dynamo, SQS/SNS, Step Functions, Glue, Athena), enabling real-time analytics with BI tools (Tableau, Quicksight, Looker), conducting unit tests and code reviews, and contributing to data analytics and AI-driven initiatives with a customer-focused mindset.
Required Qualifications
- Must Have: AWS CloudFormation
- AWS Dynamo
- AWS Lambda
- AWS S3
- AWS SNS/SQS
- AWS Step Function
- BI Tool
- Gen AI
- Node.js Development
- Python
- RedShift/SQL
- Expert in writing and optimizing complex SQL queries
- Expert integrating Redshift Serverless with AWS services (S3, Glue, Lambda, Athena, Kinesis)
- Experience in building serverless ETL pipelines with Lambda
- Experience of NodeJS and Python
- Working knowledge of AI technologies
- Experience with AWS services
- DevOps tools and automation
- Effective communication skills
- 5+ years of experience as a Data Engineer
Additional Requirements
- U.S. citizen or permanent resident
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