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Job Description & How to Apply Below
KEY RESPONSIBILITIES
Data Engineering & Platform Architecture
Architect and lead development of scalable cloud data platforms on AWS – including S3, Glue, Lambda, Redshift, Step Functions, and EC2
Design and implement data models, dimensional schemas, and data lake architectures aligned to business use cases
Build and maintain production ETL/ELT pipelines using Python, PySpark, SQL, and dBT
Ensure data quality, governance, and compliance across all production data assets
AWS Application Development
Develop, deploy, and maintain cloud-native applications integrating with AWS services such as Lambda, API Gateway, DynamoDB, SQS, and SNS
Write high-quality application code using AWS SDKs and CLI, embedding best practices for security, scalability, and performance
Implement serverless architectures and event-driven patterns to solve business problems
Dev Ops, CI/CD & Containerization
Drive CI/CD automation using Git Lab, Jenkins, Docker, and AWS Developer Tools (Code Pipeline, Code Build, Code Deploy)
Design and manage containerized workloads on ECS / EKS, ensuring reliable, repeatable deployments
Define infrastructure and engineering standards, conduct design reviews, and mentor junior and senior engineers
Client Engagement & Production Ownership
Act as the primary technical advisor to client and business stakeholders – translating complex requirements into delivery roadmaps
Troubleshoot and resolve production incidents with a sense of urgency and ownership
Manage identity, access, and security configurations using IAM and Amazon Cognito
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