Job Scope 

Design, develop and maintain APIs to support data-driven applications and integrations 

Build and manage scalable data models, schemas, and data structures  

Develop, optimize and maintain databases using SQL and MongoDB  

Design and implement ETL pipelines for data ingestion, transformation and processing  

Gather user requirements and translate business needs into technical solutions  

Provide user support for dashboards and data applications (troubleshooting, issue resolution)  

Support and maintain dashboards, ensuring data accuracy, reliability and performance  

Perform data validation, debugging and root cause analysis  

Ensure best practices in code quality, documentation and version control 

Requirements / Qualifications 

Degree in Computer Science or related field (preferred) 

Proficient in Python for data processing and backend development 

Experience in API development (e.g. RESTful services) 

Strong understanding of data modelling and data structures 

Experience in ETL development and data pipeline design 

Experience with SQL and NoSQL databases (e.g. MongoDB) 

Good communication skills for requirements gathering and user support 

Strong problem-solving skills and attention to detail 

Experience in dashboard tools (e.g. Qlik Sense) is an advantage 

Familiar with backend frameworks (e.g. FastAPI, Django) is a plus 

Experience : 3 years