Full-Stack Developer – Data Application

Octal Technical Solutions

. Develop backend data pipelines and self-service application layers .

Posted 10/6/2026full-timeMakati City • PhilippinesSeniorLead💰 ₱50,000 - ₱120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing backend data pipelines and self-service applications using Python and Snowflake, with a strong focus on REST API integrations and production-scale debugging. Proficient in designing data architectures and leveraging AWS services for efficient data processing.

Highest-signal resume keywords

Python DevelopmentSnowflake SQLREST API IntegrationAWS Data Pipeline ArchitectureProduction-Scale Debugging

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Applicant Tracking System Keywords

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Hard Skills

PythonSnowflakeREST APISQLFlaskFastAPIGitData Pipeline DesignLLM ExperienceWorkflow Orchestration

Tools & Technologies

ClaudeAWS LambdaAWS Step FunctionsAWS GlueECS/FargateEC2S3Secrets ManagerEventBridgeAlteryx Designer

Industry Keywords

Data PipelinesSelf-Service ApplicationsProduction DebuggingWorkflow OrchestrationEvent-Driven Processing

Tech Stack

Tools & technologies

AirflowAWSEC2FlaskJavaScriptPandasPythonSQL

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 Python, Snowflake, REST APIs, and web applications
Use Claude as an active co-author for code generation, agentic task execution, architectural review, and documentation
Reverse-engineer legacy workflows and reproduce their outputs in a new technology stack
Own and debug production-scale data pipelines with SLA implications

Requirements

What you’ll need

7+ years of Python development, including pandas, requests, openpyxl, and regex
Solid Snowflake SQL skills, including joins, CTEs, window functions, INSERT, MERGE, and TRUNCATE/INSERT
Ability to design data pipelines from scratch, select batch versus event-driven 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 with Flask or FastAPI and an 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, including branching, pull requests, and versioned releases
Production-scale pipeline experience serving multiple consumers on a defined schedule with SLA implications and production debugging experience
Strong plus: Microsoft Graph API experience
Strong plus: Snowflake architecture experience, including table structures, roles and grants, compute sizing, cloning, or time-travel
Strong plus: experience building self-service data tools or internal operations tooling for non-technical users
Strong plus: familiarity with Alteryx Designer
Strong plus: workflow orchestration experience with Airflow, Prefect, or AWS Step Functions, including production DAGs, task dependencies, retry logic, and failure alerting