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Full Stack Developer, Python, Data, AWS
Octal Technical Solutions. Develop backend data pipelines and self-service application layers .
Posted 10/14/2026full-timeMakati • PhilippinesMid-LevelSenior💰 ₱1,560,000 - ₱1,950,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing backend data pipelines and self-service applications using Python and Snowflake, with a strong focus on REST API integrations and production code ownership. Proficient in leveraging AWS services for data pipeline architecture and utilizing AI tools for code generation and task execution.
Highest-signal resume keywords
Python DevelopmentSnowflake SQLREST API IntegrationAWS Data Pipeline ArchitectureProduction Codebase Ownership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSnowflake SQLREST APIAWS LambdaFlaskFastAPIGitAirflowData Pipeline DesignData Quality Libraries
Tools & Technologies
ClaudeAlteryx DesignerMicrosoft Graph APIKNIME Analytics PlatformGreat Expectations
Industry Keywords
Data PipelinesSelf-Service ApplicationsProduction WorkflowsAgentic Coding ToolsFull-Stack Development
Tech Stack
Tools & technologiesAirflowAWSEC2FlaskJavaScriptPandasPythonReactSQLVue.js
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 applications used by five internal teams
- Work across the full engineering lifecycle using Claude for code generation, agentic task execution, architectural review, UI scaffolding, test generation, and documentation
- Write precise prompts, decompose complex tasks for agentic execution, critically validate AI-generated code, and iterate on outputs
- Deliver production code with a lean team against a hard December deadline
Requirements
What you’ll need- 5+ years of Python development using pandas, requests, openpyxl, and regex
- Production codebase ownership end to end
- Solid Snowflake SQL, including joins, CTEs, window functions, INSERT, MERGE, and TRUNCATE/INSERT
- Ability to design data pipelines from scratch, select batch or 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 with a Python backend using Flask or FastAPI and 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, including branching, pull requests, and versioned releases
- Production-scale pipeline ownership with multiple consumers, defined schedules, 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 is a strong plus
- Familiarity with Alteryx Designer is a strong plus
- Production workflow orchestration experience with Airflow, Prefect, or AWS Step Functions is a strong plus
- React or Vue experience is a strong plus
- KNIME Analytics Platform familiarity is a strong plus
- Data quality library experience with Great Expectations, phone numbers, or email-validator is a strong plus
- Experience decomposing complex engineering problems into prompt sequences for agentic AI execution is a strong plus