Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms Orchestrate workflows with AWS Step Functions and serverless components ( Lambda ) Implement messaging and event-driven patterns using AWS SNS and SQS
Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms Orchestrate workflows with AWS Step Functions and serverless components ( Lambda ) Implement messaging and event-driven patterns using AWS SNS and SQS
Job Overview Job ID: J52265 Job Title: Sr AWS Python Developer Location: Reston, VA Duration: 21 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Key Qualifications 6 years of experience with designing and developing web services applications. Strong experience with providing and consuming web services APIs (REST, JSON, OpenAPI Swagger). Experience with modern Python and frameworks (FastAPI, Flask, SQLAlchemy Core, Pydantic,
Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms Orchestrate workflows with AWS Step Functions and serverless components (Lambda) Implement messaging and event-driven patterns using AWS SNS and SQS Design and
Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms Orchestrate workflows with AWS Step Functions and serverless components ( Lambda ) Implement messaging and event-driven patterns using AWS SNS and SQS
Key Qualifications 6 years of experience with designing and developing web services applications. Strong experience with providing and consuming web services APIs (REST, JSON, OpenAPISwagger) Experience with modern Python and frameworks (FastAPIFlask, SQLAlchemy Core, Pydantic, Httpx, Alembic,
Responsibilities Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms Orchestrate workflows with AWS Step Functions and serverless components (Lambda) Implement messaging and event-driven patterns using AWS SNS and SQS Design
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