Full Stack Data Engineer

Quick Facts

• Role focused on modernizing and integrating core platforms
• Owns end-to-end development: data pipelines, APIs, backend systems, and web applications
• Emphasis on high-throughput ETL/analytics and operational excellence

Description

You will architect data pipelines, APIs, and backend systems that power modern web applications, bridging legacy databases with performance-oriented platforms. The role covers end-to-end development from database schema design through the client-side UI. You will also ensure reliable operations via CI/CD automation, automated tests, and Linux-based deployments.

Responsibilities

• Design, develop, and deploy scalable web applications (database schema to client-side UI)
• Build and optimize high-throughput data pipelines, ETL processes, and analytics engines
• Architect integration layers connecting modern front ends to legacy backend systems
• Maintain CI/CD pipelines and automate deployments via GitHub with comprehensive automated test suites
• Deploy and manage applications on Linux using Nginx and shell scripting

Requirements

• Experience delivering end-to-end scalable web applications
• Strong skills in building high-throughput ETL/data pipelines and analytics
• Ability to design robust APIs and integration layers
• Proven CI/CD and automated testing/deployment automation experience
• Proficiency deploying and managing Linux/Nginx-based applications with shell scripting
• Hands-on proficiency with Kafka, Spark, and Python data/ETL ecosystems
• Experience with PostgreSQL and Oracle 11g

Benefits

• Opportunity to lead modernization and integration of core platforms end to end
• Work at the intersection of big data processing, API design, and user-facing application development