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Octal Technical Solutions

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 fit
Core Competencies

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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

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Applicant Tracking System Keywords

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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 & technologies
AirflowAWSEC2FlaskJavaScriptPandasPythonReactSQLVue.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