Description :

Role : Python Developer with Data Analytics

Experience : 4+ years

Requirement : Immediate Joinee to 15 days

Key Responsibilities :

- Collaborate with Product Management and Professional Services teams to gather requirements, provide accurate estimates, and deliver on committed timelines

- Design, develop, and maintain interactive dashboards and reports that provide actionable insights

- Create custom reports tailored to individual customer needs while identifying opportunities to generalize solutions for broader customer benefit

- Analyze customer requirements holistically to determine if needs can be met through existing reports, enhancements to current offerings, or new development

- Master our data models and data warehouse architecture to ensure efficient and accurate data retrieval

- Develop and maintain RESTful APIs to extract and serve data from our data warehouse

- Write clean, efficient, and maintainable code using Python and SQL to power reporting and analytics solutions

- Ensure data accuracy, consistency, and optimal query performance across all deliverables

Required Qualifications :

- Minimum 4 years of professional experience in Python development and data analytics

- Strong proficiency in Python programming, including data manipulation libraries (pandas, NumPy)

- Advanced SQL skills with experience in complex queries, optimization, and data warehouse environments

- Proven experience developing data visualizations and dashboards (e.g., Tableau, Power BI, or similar tools)

- Experience designing and developing RESTful APIs

- Solid understanding of data modeling concepts and relational database design

- Demonstrated ability to translate business requirements into technical solutions

- Strong analytical and problem-solving skills with attention to detail

- Excellent communication skills and ability to work collaboratively across teams

- Experience providing project estimates and managing timelines

Preferred Qualifications :

- Experience with modern data warehouse solutions (Snowflake, Clickhouse, etc.)

- Knowledge of version control systems (Git)

- Experience with data visualization libraries

- Understanding of data governance and security best practices

- Background in a SaaS or customer-facing technical environment