Job Description

Job Title: Senior Python Developer - Data Visualization & AI Integration

Location: Remote / Hybrid / On-Site (Flexible)

Experience Level: 5-10+ Years

Department: Data Engineering & Analytics

Employment Type: Full-Time

About the Role:

We are seeking an exceptional Senior Python Developer with strong expertise in data visualization, AI-driven analytics, and enterprise-grade data integration. The ideal candidate is passionate about transforming complex datasets into actionable insights using modern tools and AI technologies.

This is not a routine coding role -- you will be architecting intelligent data experiences, connecting to large-scale data warehouses, and delivering dynamic, visually compelling insights that empower business decisions.

Key Responsibilities:

Design, develop, and maintain Python-based data pipelines to connect and query enterprise data warehouses (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse). Build interactive and visually rich dashboards using market-standard frameworks such as Plotly Dash, Streamlit, Power BI API, or Tableau Python Integration. Develop AI-assisted data models that extract patterns, predict trends, and generate natural-language summaries of business insights. Collaborate with data engineers, analysts, and business leaders to translate analytical needs into scalable Python applications. Optimize data retrieval and visualization performance for large, multi-source datasets. Maintain code quality, reusability, and documentation following enterprise software development standards.
Required Skills & Experience:

5+ years of professional experience in Python development (Pandas, NumPy, FastAPI, Flask). Proven experience connecting Python applications to data warehouses or analytical databases. Expertise in data visualization frameworks such as Plotly, Dash, Streamlit, or Matplotlib. Solid understanding of SQL, data modeling, and ETL pipelines. Experience with AI/ML integration -- building or consuming AI APIs for analytics or automation. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes). Strong understanding of data security, governance, and performance optimization. Excellent communication skills and ability to collaborate across technical and business teams.
Preferred Qualifications:

Hands-on experience with Tableau, Power BI or AI-powered BI tools. Experience creating custom AI dashboards or conversational data assistants. Contribution to open-source Python or data visualization projects is a plus. What We Offer Competitive compensation and performance-based incentives. Access to cutting-edge AI and analytics technologies. Opportunity to lead and shape next-generation data experience products. Supportive, innovation-driven culture that values expertise, creativity, and autonomy.
Job Types: Full-time, Permanent

Pay: ?600,000.00 - ?800,000.00 per year

Benefits:

Flexible schedule Provident Fund Work from home
Work Location: Remote