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Senior Full-Stack Developer
Octal Technical Solutions. Develop backend data pipelines and self-service application layers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Python development and backend data pipeline architecture, with a strong focus on building REST APIs and self-service applications. Proficient in leveraging AWS services and modern coding tools to enhance productivity and efficiency in software delivery.
Highest-signal resume keywords
Python DevelopmentSnowflake SQLREST API IntegrationAWS Data Pipeline ArchitectureFull-Stack Web Application Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPandasRequestsOpenpyxlRegexSnowflake SQLREST APIFlaskFastAPIGit
Tools & Technologies
AWS LambdaAWS Step FunctionsAWS GlueAWS ECS/FargateAWS EC2AWS S3AWS Secrets ManagerAWS EventBridgeMicrosoft Graph APIAlteryx Designer
Industry Keywords
Data PipelineSelf-Service ApplicationsWorkflow OrchestrationAI-Assisted DevelopmentProduction Debugging
Tech Stack
Tools & technologiesAirflowAWSEC2FlaskJavaScriptPandasPythonSQL
About the role
Key responsibilities & impact- Develop backend data pipelines and self-service application layers
- Build Python pipelines and Snowflake workflows
- Create REST API integrations
- Develop web-based self-service applications replacing 40+ Alteryx Gallery apps used by five internal teams
- Work across the full engineering lifecycle in an AI-assisted development model, including code generation, agentic task execution, architectural review, and documentation
- Own and ship full-stack web applications end to end
- Reverse-engineer legacy workflows and reproduce their outputs in a new technology stack
Requirements
What you’ll need- 7+ years of Python development, including pandas, requests, openpyxl, and regex
- Solid Snowflake SQL, including joins, CTEs, window functions, INSERT, MERGE, and TRUNCATE/INSERT
- Ability to design data pipelines from scratch, select processing models, choose AWS services, and defend architecture decisions
- REST API experience with OAuth2, pagination, rate limiting, and JSON/XML parsing
- Full-stack capability using a Python backend such as Flask or FastAPI with HTML/JavaScript frontend
- Hands-on AWS data pipeline architecture experience with Lambda, Step Functions or Glue, ECS/Fargate or EC2, S3, Secrets Manager, and EventBridge
- Demonstrated production experience using LLMs such as Claude, Copilot, GPT-4, or equivalent as active co-authors
- Hands-on experience with agentic coding tools such as Claude Code, Cursor, Devin, or similar
- Ability to reverse-engineer undocumented legacy workflows and exactly reproduce their outputs
- Git proficiency with branching, pull requests, and versioned releases
- Production-scale pipeline experience serving multiple consumers on a defined schedule with SLA implications and production debugging experience
- Preferred/strong-plus experience with Microsoft Graph API, Snowflake architecture, self-service data tools, Alteryx Designer, and workflow orchestration tools such as Airflow, Prefect, or AWS Step Functions