Full Stack Developer - BI & Data Engineering

About the role

JazzWorld is looking for a Full Stack Developer to design, build and scale enterprise‑grade data and analytics platforms. The role combines web development, API creation, database engineering, Hadoop work and data‑pipeline construction in a fast‑paced environment.

Key responsibilities

• Own end‑to‑end development of data‑driven applications, including pipelines, APIs, databases and front‑end dashboards.
• Develop and enhance scalable web applications and internal platforms for enterprise reporting and analytics.
• Work with the Hadoop platform with minimal supervision.
• Build cross‑platform mobile applications (Android & iOS) for enterprise use cases when required.
• Design, develop and optimise SQL Server databases, including queries, stored procedures and performance tuning.
• Develop and integrate RESTful APIs with enterprise systems such as CRM, Billing and Service platforms.
• Design and maintain ETL/ELT data pipelines for reliable data ingestion, transformation and availability.
• Translate business requirements into scalable, secure, high‑performance technical solutions.
• Maintain high code quality through best practices, code reviews and version control.
• Continuously enhance existing systems and ensure operational stability of platforms.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum 5 years of full‑stack development experience with exposure to data engineering concepts.
• Proven ability to work independently and deliver end‑to‑end solutions in a fast‑paced environment.

Required skills

• HTML, CSS, JavaScript
• React.js or Angular
• .NET (preferred) or Node.js
• RESTful API design and development
• SQL Server (advanced queries, stored procedures, performance tuning)
• ETL/ELT pipeline development
• Hadoop ecosystem
• Android & iOS mobile development (cross‑platform)
• Data modelling and data quality principles

What we offer

• Certified Top Employer status.
• Inclusive and diverse workplace.
• Opportunities to work on enterprise‑grade analytics platforms.
• Competitive compensation and professional growth.