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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in developing backend data pipelines and self-service applications using Python and Snowflake, with a strong focus on integrating REST APIs and leveraging AI-assisted development tools. Proven ability to design and implement scalable data architectures and workflows while ensuring production-level performance and reliability.
Highest-signal resume keywords
Python DevelopmentSnowflake SQLREST API IntegrationAWS Data Pipeline ArchitectureFull-Stack 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 APIsFlaskFastAPIGit
Tools & Technologies
AWS LambdaAWS Step FunctionsAWS GlueECS/FargateEC2S3Secrets ManagerEventBridgeClaudeAirflow
Industry Keywords
Data PipelinesSelf-Service ApplicationsWorkflow OrchestrationProduction DebuggingAlteryx Designer
Tech Stack
Tools & technologiesAirflowAWSEC2FlaskJavaScriptPandasPythonSQL
About the role
Key responsibilities & impact- Develop backend data pipelines
- Develop the self-service application layer
- Build Python pipelines and Snowflake workflows
- Integrate REST APIs
- Build web-based self-service applications replacing 40+ Alteryx Gallery apps used by five internal teams
- Use Claude (Anthropic) as an active co-author for code generation, agentic task execution, architectural review, and documentation
- Work across the full engineering lifecycle in an AI-assisted development model
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
- Proven ability to design data pipelines from scratch, select batch versus event-driven processing models, select appropriate 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 (Flask or FastAPI) with an HTML/JS 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, or GPT-4 as active co-authors
- Hands-on experience with agentic coding tools such as Claude Code, Cursor, or Devin
- Ability to reverse-engineer undocumented legacy workflows and reproduce outputs exactly
- 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
- Microsoft Graph API experience is a strong plus
- Snowflake architecture experience is a strong plus
- Experience building self-service data tools or internal operations tooling for non-technical users is a strong plus
- Familiarity with Alteryx Designer is a strong plus
- Workflow orchestration experience with Airflow, Prefect, or AWS Step Functions is a strong plus