Full-Stack Developer – Data Application

Octal Technical Solutions

. Develop backend data pipelines and the self-service application layer .

Posted 9/18/2026full-timeMakati City • PhilippinesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Python development, Snowflake SQL, and REST API integrations, with a proven ability to design and implement robust data pipelines and self-service applications. Proficient in leveraging AWS services and AI-assisted development tools to enhance production engineering and workflow efficiency.

Highest-signal resume keywords

Python DevelopmentSnowflake SQLREST API ExperienceAWS Services ConfigurationAI-Assisted Development

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Applicant Tracking System Keywords

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Hard Skills

PythonSnowflake SQLREST APIData Pipeline DesignGit ProficiencyWorkflow OrchestrationProduction-Scale Pipeline ExperienceFull-Stack DevelopmentMicrosoft Graph APIAlteryx Designer

Tools & Technologies

AWS LambdaAWS Step FunctionsAWS GlueAWS ECS/FargateAWS S3ClaudeAirflowPrefectFlaskFastAPI

Industry Keywords

Data PipelinesSelf-Service ApplicationsAgentic Coding ToolsProduction EngineeringWorkflow Automation

Tech Stack

Tools & technologies

AirflowAWSEC2FlaskJavaScriptPandasPythonSQL

About the role

Key responsibilities & impact

Develop backend data pipelines and the self-service application layer
Work across Python pipelines, Snowflake workflows, REST API integrations, and web-based self-service applications
Replace 40+ Alteryx Gallery applications used daily by five internal teams
Use Claude (Anthropic) as an active co-author across code generation, agentic task execution, architectural review, and documentation

Requirements

What you’ll need

7+ years of Python development — pandas, requests, openpyxl, regex as daily tools; comfortable owning a production codebase end to end
Solid Snowflake SQL — joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT)
Proven ability to design a data pipeline from scratch, choose the right processing model (batch vs. event-driven), select appropriate AWS services, and defend those decisions; architecture decisions adopted by a team
REST API experience — OAuth2, pagination, rate limiting, JSON/XML parsing
Full-stack capability — Python backend (Flask or FastAPI) with HTML/JS frontend; able to build and ship a working web application end to end
Hands-on experience selecting and configuring AWS services for data workloads from scratch: Lambda, Step Functions or Glue, ECS/Fargate or EC2, S3, Secrets Manager, and EventBridge; ability to justify service choices
Demonstrated experience with AI-assisted development using LLMs such as Claude, Copilot, GPT-4, or equivalent as active co-authors in production engineering
Hands-on experience with agentic coding tools such as Claude Code, Cursor, Devin, or similar
Ability to reverse-engineer undocumented legacy workflows and reproduce their output exactly in a new stack
Git proficiency — branching, PRs, versioned releases
Production-scale pipeline experience owning a scheduled data pipeline serving multiple consumers with SLA implications and debugging it in production; small or solo projects do not meet this bar
Microsoft Graph API experience — SharePoint file writes, list operations, and email dispatch
Snowflake architecture experience, including table structures, roles and grants, compute sizing, cloning, or time travel in a production warehouse
Experience building self-service data tools or internal operations tooling for non-technical users
Familiarity with Alteryx Designer
Workflow orchestration experience with Airflow, Prefect, or AWS Step Functions; production DAGs with task dependencies, retry logic, and failure alerting