Python AWS Developer

Symphony Corporation
Malvern, PA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Automation of Tests Batch Processing Big Data Code Review Data Transformation Data Security Data Synchronization Amazon DynamoDB Identity and Access Management Python (Programming Language)
+14 more
NoSQL Cloud Services Software Engineering Data Logging Software Troubleshooting Backend Git Event Driven Architecture Functional Programming Api Design Api Gateway Amazon Simple Queue Service (SQS) Software Version Control Golang

Requirements

Python AWS Developer - With experience in working 0Auth 0 , security vernabilities , site minder migration and kong

10+ years of professional software development experience, with a focus on backend, integration, or data-intensive systems. Demonstrated experience designing and building system-to-system data synchronization or migration solutions between legacy and modern platforms. Strong Python/golang development with proficiency in AWS cloud services, such as Lambda, S3, DynamoDB/RDS, Step Functions, SNS/SQS, API Gateway, or equivalent managed services. Hands-on experience developing APIs, batch processing jobs, and event-driven architectures. Solid understanding of data modeling, data transformation, reconciliation, and validation techniques for financial or account-based data. Experience working with relational and NoSQL databases, including writing performant queries and handling large data volumes. Knowledge of security best practices, including data encryption, IAM, secure data transfer, and audit/logging controls. Familiarity with CI/CD pipelines, source control (Git), automated testing, and code review practices. Experience working in Agile/Scrum environments, collaborating closely with product owners, architects, and operations teams. Strong troubleshooting and analytical skills, with the ability to identify root causes of data discrepancies and system failures. Excellent written and verbal communication skills, including the ability to produce clear technical documentation.

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