Software developer (Full-stack and ETL)
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, generalist fullstack role with mid-level demand and broad skillset increases competition.
Requires combined fullstack and data engineering skills narrowing fit to data-centric engineering backgrounds.
Multiple mandatory technologies (Django, React, Databricks, AWS) raise screening rigor without explicit years.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, deploy, and maintain end-to-end full-stack features and ETL pipelines using Django, React, Python, Databricks, and AWS.
Own backend (Python/Django REST APIs, authentication, data models), frontend (React), ETL frameworks, and cloud infrastructure (AWS services, Docker, CI/CD).
Support production ETL jobs and systems, ensuring scalability, security, performance, and operational stability with minimal downtime.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, or related field.
Strong proficiency in Python backend development and ETL pipeline design/troubleshooting on Linux.
Experience with Django, React, REST APIs, Databricks or similar platforms, SQL/data modeling, AWS services, Docker, CI/CD, and SAML-based authentication (Okta or similar).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced full-stack developer capable of owning diverse domains including backend, frontend, ETL, and cloud infrastructure with production-level responsibility.
Skilled in designing scalable, secure data ingestion and processing pipelines integrated with cloud-native AWS environments.
Comfortable collaborating cross-functionally with product, data engineering, and DevOps teams, and adept at troubleshooting and resolving production issues.