Full Stack Data Platform Engineer

Job Title:

Location:

Job Overview

Full Stack Data Platform Engineer

This role combines backend craftsmanship with data intuition to power internal tools, data reporting pipelines, and intelligent automation systems.

Key Responsibilities

Application & API Development

• Design and maintain scalable backend services using

  Python (Django)

  .
• Build and optimize

  RESTful or GraphQL APIs

  for internal and external use.
• Integrate and manage

  PostgreSQL/Supabase

  databases.
• Occasionally contribute to

  frontend tasks

  (React, Vue, or basic HTML/CSS/JS).
• Ensure performance, security, and reliability across the stack.
  

Database Engineering

• Design and normalize database schemas for scale and performance.
  
• Implement

  backup, restore, and security protocols

  .
• Monitor and optimize query performance for large-scale datasets.
  

API & System Integration

• Develop and document APIs for seamless service-to-service data exchange.
  
• Integrate with third-party and internal tools using

  OAuth, JWT

  , etc.
• Maintain version control and backward compatibility.
  

Data Reporting & Analytics

• Build automated and ad-hoc data reports and dashboards.
  
• Translate business goals into

  metrics, KPIs, and analytics pipelines

  .
• Conduct

  exploratory data analysis (EDA)

  to uncover trends and anomalies.

Automation & Internal Tooling

• Identify manual workflows and automate them using code or no-code tools.
  
• Work with cross-functional teams to scale internal processes.
  
• Build

  end-to-end automation

  from data ingestion to insights delivery.

Required Qualifications

• Strong experience with

  Python

  and

  Django

  for backend development.
• Deep knowledge of

  PostgreSQL

  ,

  Supabase

  , or equivalent platforms.
• Proficiency in

  SQL

  , schema design, and database performance tuning.
• Experience with

  API development

  and authentication standards (OAuth/JWT).
• Familiarity with

  frontend frameworks

  (React, Vue, JS/HTML/CSS).
• Experience in

  ETL design

  ,

  data modeling

  , and

  analytics reporting

  .
• Comfort with

  Git

  , CI/CD, and agile development workflows.

Bonus Skills (Nice-to-Have)

• DevOps

  : Familiarity with Docker, Gunicorn, Nginx, etc.

• Linux/Ubuntu

  : Server maintenance, shell scripting, and log analysis.

• Data Visualization

  : Metabase, Redash, or building custom dashboards.

• Cloud Platforms

  : Experience with AWS, GCP, or Vercel deployments.

Soft Skills

• Excellent communication and async collaboration abilities.
  
• Self-starter with strong problem-solving and ownership mindset.
  
• Ability to translate technical solutions into business value.
  
• Passion for clean code, system scalability, and impactful automation.