Streamlit Developer

Overview

Remote
On Site
Hybrid
$Depend on Expq
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 3 month(s)

Skills

LOS
Video
Python
SQL
Data Architecture
Query Optimization
Management
Auditing
Data Structure
Analytical Skill
Problem Solving
Conflict Resolution
UI
User Experience
Agile
Oracle Linux
Web Applications
Authentication
Snow Flake Schema
Collaboration
Data Engineering
IT Architecture
Documentation
Scalability
Automated Testing
Performance Monitoring

Job Details

Job Title- Streamlit Developer

Project Location Los Angeles, California

Contract / CTH / FullTime- Contract

Remote or Hybrid or Onsite - Remote

Project Duration 3 months

Interview Mode- Video

MUST HAVES:

  1. Min 2 years Streamlit Development
  2. Extensive experience with Python and SQL
  3. Experience with HR Enterprise Data Structures
  4. Deep understanding of Snowflake data architecture, query optimization, and security features (e.g., row/column-level access, roles, and policies).
  5. Experience building secure web applications, including authentication, session management, and audit logging.
  6. Familiarity with enterprise HR data structures is highly desirable.
  7. Strong analytical and problem-solving skills, with an eye for user-friendly design and clean UI/UX.
  8. Experience working in an agile environment.

JOB DESCRIPTION: Looking for a software developer who specializes in building interactive web applications using Streamlit.

Key Responsibilities:

  • Design and build an intuitive and secure Streamlit web application to allow users to add and update talent planning data profiles, visibility to prior entries dependent on role.
  • Develop role-based data access models and secure user authentication flows that align with enterprise HR security standards.
  • Integrate with Snowflake to read/write sensitive HR data, leveraging best practices for performance and governance.
  • Build functionality to export individual level information in an easy to reference format
  • Collaborate with HR, data engineering, and IT teams to align on requirements, data definitions, and technical architecture.
  • Create reusable components and documentation for long-term maintainability and scalability.
  • Implement automated testing, logging, and performance monitoring to ensure app reliability.
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