Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 8 day((s))
Skills
Python AWS Developer
Job Details
Role: Python AWS Developer
Location: Reston, VA (Hybrid 3 days onsite / 2 days offsite)
Duration: Long Term
Interview Process: 1st round Video Interview, 2nd round Onsite Interview
Ex-CapitalOne Experience needed
Summary
We are looking for a strong Python AWS Developer who can work hands-on from scratch, build tools, automate data workflows, and support backend processing of large datasets. The ideal person is comfortable working across XML/JSON files, AWS services, and SQL-based data stores, and can take on a wide range of tasks in a mature Python environment.
Key Responsibilities:
- Design, develop, and deploy Python-based applications and automation scripts from scratch.
- Utilize Python libraries such as Pandas and NumPy for data processing, transformation, and analysis.
- Work extensively with AWS services (e.g., Lambda, S3, DynamoDB, EC2, IAM, Step Functions, Glue, CloudWatch).
- Integrate and automate workflows using Boto3 for AWS service interactions.
- Write optimized SQL queries and work with relational databases for data extraction and transformation.
- Support enterprise-level data engineering and analytics projects by building robust, scalable pipelines.
- Collaborate with cross-functional teams to deliver end-to-end cloud and data solutions.
- Leverage ML/AI libraries and frameworks where required for model integration or data processing tasks.
- Contribute to projects involving Amazon Bedrock, LLM-based workflows, and generative AI integrations.
- Ensure best practices for code quality, testing, security, and cloud architecture.
Required Skills & Qualifications:
- 6 8 years of hands-on Python development experience with strong command of Pandas, NumPy, and best coding practices.
- Proven experience building Python applications and automation solutions from the ground up.
- Strong knowledge of AWS cloud services and cloud-native application development.
- Proficiency in Boto3 for AWS API interactions.
- Solid understanding of SQL and experience working with relational databases.
- Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Understanding of Amazon Bedrock, LLM workflows, or generative AI concepts.
- Experience supporting enterprise-scale data projects, data pipelines, or cloud migration initiatives.
- Strong problem-solving skills, communication abilities, and experience working in Agile environments.
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