Delivery Lead - Analytics & BI Engineer

JOB_REQUIREMENTS

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Job Purpose

To design, develop, and deploy interactive data applications using Streamlit platform. You will collaborate with business stakeholders, data engineers, data scientists, and analysts to create scalable, user-friendly solutions that drive business intelligence and analytics.

Desired Skills and Experience

Essential skills

Bachelor’s degree in computer science, Engineering, or a related field
Overall, 7 years of experience working in the software development, engineering, and analytics field
2+ years of hands-on experience developing applications with Streamlit and Python.
Excellent Python and SQL proficiency
Experience integrating applications with cloud data warehouses and REST APIs.
Experience with dimensional data models and data shaping techniques.
Strong UI/UX design skills, including wireframe creation and user flow development.
Working experience of snowflake for data integrations

Good-to-Have

Familiarity with HTML, CSS, and JavaScript for UI enhancements is a plus.
Understanding software development best practices, version control (Git), and CI/CD.

Key Responsibilities

Design, develop, and maintain interactive web applications using Streamlit and Python.
Build and optimize live dashboards, reports, and data apps on Streamlit platform.
Integrate applications with cloud data warehouses (Snowflake) and APIs for dynamic data handling.
Translate business requirements into functional, visually appealing applications and dashboards.
Collaborate with cross-functional teams to gather requirements, create wireframes, and develop intuitive user interfaces.
Implement authentication, access control, and security best practices in all applications.
Optimize application performance, responsiveness, and user experience.
Provide technical support, troubleshooting, and performance optimization for deployed solutions.
Document codebase, workflows, and deployment processes.
Contribute to Agile development processes, including sprint planning and delivery.

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