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Senior AWS Engineer- "AWS Glue", ETL, Node.Js, Microservices

Dotcom Team, LLC
Malvern, PA, United States
27 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

JavaScript (Programming Language) Amazon Web Services Amazon S3 Audit Trail Unit Testing Continuous Integration Extract Transform Load (ETL) Data Manipulation Languages Amazon DynamoDB Python (Programming Language) Node.Js Oracle SQL Developer
+22 more
Mockito SQL Stored Procedures Transaction Data TypeScript Workflow Management Systems Parquet Grafana Apache Spark AWS Lambda Cloudformation Event Driven Architecture Pytest Data Lakes Pyspark AWS Glue Cloudwatch Pagination Es2015 Mocha Serverless Computing Jenkins Microservices

Job description

We are looking for a Senior AWS Engineer to extend our event-driven, serverless financial platform. The platform combines Python-based AWS Glue ETL pipelines with Node.js Lambda microservices.

Requirements

  • Python (3.12+) strong proficiency, including testable, well-structured ETL code
  • Node.js (current LTS) has strong proficiency, including ES6+, async/await, and JavaScript or TypeScript for AWS Lambda microservices
  • Experience designing and operating microservices architectures: single-purpose services, loose coupling, independent deployment, event contracts and idempotency
  • AWS Glue (PySpark, Glue 4.0, DynamicFrames) and AWS Lambda (Python and Node.js runtimes)
  • AWS Step Functions (Amazon States Language) for workflow orchestration
  • AWS SAM / CloudFormation infrastructure as code, multi-environment deployment
  • Oracle SQL complex joins, DML across transactional schemas, stored procedure-like code patterns
  • DynamoDB key design, GSIs, conditional writes, pagination
  • S3 - event-driven architectures (EventBridge notifications), data lake patterns (Parquet)
  • Strong testing discipline: pytest/unittest, Jest/Mocha, mocking AWS services (moto, aws-sdk-client-mock), stubbing Spark/Glue runtime dependencies for offline unit tests
  • Experience with financial/transactional data where correctness, auditability, and idempotency are critical
  • CI/CD experience, ideally Jenkins, with multi-environment promotion gates
  • Familiarity with CloudWatch metrics/logs, Grafana, and building operational dashboards.

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