Job description
Department: Business Insights & Analytics Grade: L2 Location: Lahore / Islamabad (On-site) Reporting To: Manager Data Engineering & Analytics Role Overview We are hiring a Full Stack Developer to play a key role in building and scaling enterprise-grade data and analytics platforms at Jazz World.
The ideal candidate will be responsible and self-motivated for developing end-to-end solutions across web applications, APIs, databases, Hadoop, and data pipelines.
This role requires strong technical expertise, problem-solving ability, and the capability to translate complex business requirements into scalable engineering solutions in a fast-paced environment.
Key Responsibilities Own end-to-end development of data-driven applications, including data pipelines, APIs, databases, and front-end dashboards.
Develop and enhance scalable web applications and internal platforms for enterprise reporting and analytics.
Familiar with Hadoop platform and able to work with minimum supervision.
Build cross-platform mobile applications (Android & iOS) for enterprise use cases where required.
Design, develop, and optimize 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 data pipelines (ETL/ELT) for reliable data ingestion, transformation, and availability.
Translate business requirements into scalable, secure, and high-performance technical solutions.
Maintain high code quality through best practices, code reviews, and version control standards.
Continuously enhance existing systems and ensure operational stability of platforms.
Jazz is an equal opportunity employer.
We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.
Why join JazzWorld?
As a certified Top Employer, JazzWorld reflects workplace standards benchmarked against leading global organizations, demonstrating our commitmnet to creating an environment where people can thrive and perform at their best.
Our teams are driven by the belief that every JazzWorld employee should be inspired to live better every day, enabled by forward-looking leadership, an open culture, meaningful work, and continuous opportunities to learn and grow.
Our core values - Customer Obsession, Truthful, Innovation, Collaboration, and Entrepreneurial shape how we think, decide, and lead.
They encourage us to challenge convention, act with accountability, work as one team, and create solutions that truly matter for our customers and communities.
As Pakistan's largest digital operator, JazzWorld serves over 100 million through connectivity, digital services, financial inclusion, entertainment, and insurance.
Joining us means being part of transformation at a national scale; expanding access, unlocking opportunity, and building a more connected digital future.
At JazzWorld, everything we do is rooted in one shared ambition.
This purpose defines how we work, the progress we enable, and the difference we strive to make every day a Better Life For All.
Education & Experience Bachelor’s degree in computer science, Software Engineering, or a related field 5+ years of experience in full stack development with exposure to data engineering concepts Frontend Development Strong proficiency in HTML, CSS, and JavaScript Experience with React.
js or Angular Ability to build interactive, data-driven dashboards (filters, drilldowns, performance optimization) Backend Development Strong experience in .
NET (preferred) or Node.
js Hands-on experience in designing and developing RESTful APIs Strong understanding of scalable backend architecture Data Engineering & Database Strong command over SQL Server (advanced queries, stored procedures, performance tuning) Experience in ETL/ELT pipelines and data transformation processes Ability to work with large-scale transactional and analytical datasets Experience integrating multi-source data (APIs, FTP, databases, flat files) Understanding of data modelling and data quality principles
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