Python SQL Application Developer

Galaxy i Technologies, Inc
Newark, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Newark, United States of America

Tech stack

API
Business Logic
Unit Testing
Data Integrity
Data Migration
Relational Databases
Database Design
Django
Python
PostgreSQL
NumPy
Oracle Applications
Query Optimization
Standard Sql
Software Deployment
Software Engineering
SQL Stored Procedures
SQL Databases
T-SQL
Web Application Frameworks
Scripting (Bash/Python/Go/Ruby)
Freeform SQL
Flask
Large Language Models
Generative AI
Backend
GIT
FastAPI
Pandas
Containerization
Software Version Control
Docker
Programming Languages

Job description

A Python SQL Application Developer is a specialized software engineer responsible for designing, developing, and maintaining database-driven applications. This role bridges the gap between backend application logic and database management, ensuring that data is stored securely and retrieved efficiently. Core Responsibilities

  • Application Development: Building and maintaining scalable backend services and APIs using Python frameworks like FastAPI, Django, or Flask.
  • Database Design: Architecting relational database schemas, specifying primary/foreign keys, and managing data migration.
  • Query Optimization: Writing and tuning complex SQL queries, stored procedures, and views to improve performance and reduce latency.
  • Automation: Creating Python scripts to automate repetitive database maintenance tasks and administrative workflows.
  • Security & Integrity: Implementing data protection protocols and ensuring data integrity through regular backups and compliance with industry standards

Requirements

  • Programming Languages: High proficiency in Python and advanced knowledge of SQL (Oracle, PostgreSQL, or T-SQL).
  • Libraries & Frameworks: Experience with data libraries like Pandas and NumPy, and web frameworks such as Django or Flask.
  • Software Engineering: Familiarity with version control (Git), unit testing, and CI/CD pipelines.
  • Infrastructure: Knowledge of containerization tools like Docker and Kubernetes for deploying applications.
  • Emerging Tech: Modern roles frequently require exposure to GenAI capabilities, such as integrating LLMs into application workflows

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