Full-Stack Developer Data Application

Octal Philippines Incorporated

Philippines

On-site

PHP 900,000 - 1,400,000

Full time

25 hours ago
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Job summary

Octal Philippines Incorporated is hiring two Full-Stack Developers, Data Applications, to build backend data pipelines and a self-service application layer. You will work across Python pipelines, Snowflake workflows, REST API integrations, and web-based self-service apps replacing 40+ Alteryx Gallery apps used daily by five internal teams.

The role embraces an AI-assisted development model, using Claude and other tools as active co-authors across the engineering lifecycle to accelerate delivery

Qualifications

  • 7+ years of Python development experience in a production codebase.
  • Proficiency with Snowflake SQL, including joins, CTEs and write operations.
  • Experience designing end-to-end data pipelines and selecting AWS services.
  • Strong REST API experience including OAuth2, pagination, and parsing JSON/XML.
  • Full-stack capability with Python backend (Flask or FastAPI) and HTML/JS frontend.
  • Hands-on AWS data pipeline architecture knowledge for data workloads from scratch.
  • Experience using AI-assisted development tools as active co-authors in engineering.
  • Familiarity with agentic coding tools for autonomous AI execution.
  • Ability to reverse-engineer undocumented legacy workflows and reproduce outputs in a new stack.
  • Git proficiency with branching, PRs, and versioned releases.
  • Experience owning data pipelines serving multiple consumers in production.

Skills

Python development
Data pipeline architecture
REST API design
Full-stack capability
AI-assisted development
Agentic coding
Legacy workflow reverse-engineering
Git proficient
Production-scale pipelines
Cross-team collaboration
Problem solving
Documentation
Debugging in production
Attention to detail
Security awareness

Tools

Python
Flask/FastAPI
Snowflake
AWS (Lambda, Step Functions, Glue)
S3
EventBridge
OAuth2
Airflow/Prefect/AWS Step Functions
Git
Claude / Copilot / GPT-4

Job description

Job Description:
About the Role

We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer.

The developers will work across the same surface: Python pipelines, Snowflake workflows, REST API integrations, and web-based self-service applications that replace 40+ Alteryx Gallery apps used daily by five internal teams.

Our team operates in an AI-assisted development model. We use Claude (Anthropic) as an active co-author across the full engineering lifecycle, code generation, agentic task execution, architectural review, and documentation. This is not optional tooling. It is how we move fast with a lean team against a hard deadline.

  • 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)
  • Data pipeline architecture — proven ability to design a pipeline from scratch: choose the right processing model (batch vs. event-driven), select appropriate AWS services, and defend those decisions; has produced architecture decisions that were adopted by a team, not just implemented someone elses design
  • 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
  • AWS data pipeline architecture — hands-on experience selecting and configuring AWS services for a data workload from scratch: Lambda, Step Functions or Glue for orchestration, ECS/Fargate or EC2 for execution, S3 for storage, Secrets Manager for credential management, and EventBridge for scheduling; can justify which service to use and why for a given context
  • Demonstrated experience with AI-assisted development — using LLMs (Claude, Copilot, GPT-4, or equivalent) as active co-authors in a production engineering context, not just for autocomplete
  • Hands-on experience with agentic coding tools — Claude Code, Cursor, Devin, or similar — directing autonomous AI execution for real deliverables
  • Ability to reverse-engineer undocumented legacy workflows and reproduce their output exactly in a new stack — treating existing outputs as the test oracle
  • Git proficiency — branching, PRs, versioned releases
  • Production-scale pipeline experience — has owned a data pipeline serving multiple internal or external consumers, running on a defined schedule with SLA implications, and has debugged it in production; small or solo projects do not meet this bar
  • Strong Plus
  • Microsoft Graph API — SharePoint file writes, list operations, and email dispatch
  • Snowflake architecture — beyond querying: has designed table structures, configured roles and grants, managed compute sizing, or used cloning and time-travel in a production warehouse
  • Experience building self-service data tools or internal ops tooling for non-technical users
  • Familiarity with Alteryx Designer (understanding what youre replacing is a meaningful head start)
  • Workflow orchestration — Airflow, Prefect, or AWS Step Functions; has built and maintained DAGs with task dependencies, retry logic, and failure alerting in production
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