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About the role
Preferred Qualification / Experience Diploma or bachelors degree in Computer Science, Information Technology, or a related field Experience with real-time data (WebSockets, Server-Sent Events, Kafka) Familiarity with Apache Airflow or similar workflow orchestration tools Knowledge of data modeling and dimensional schemas (star/snowflake) Job Description Dashboard Development: Design and implement responsive, real-time analytics dashboards using modern frontend frameworks and visualization libraries. Full Stack Ownership: Build end-to-end featuresfrom REST/GraphQL APIs and database queries to polished UI components. Data Pipeline Integration: Connect dashboards to data warehouses, ETL pipelines, and streaming data sources. Performance Optimization: Ensure fast load times, efficient data fetching, and smooth rendering for large datasets. Collaboration: Partner with data engineers, product managers, and UX designers to translate business requirements into technical solutions. Code Quality: Write clean, testable code; participate in code reviews, maintain CI/CD pipelines. Skills Required Front End 4+ years with React (or Vue / Angular) and modern JavaScript / TypeScript Strong experience with data visualization libraries: D3.js, Chart.js, Recharts, or Apache ECharts Proficiency in HTML5, CSS3, Tailwind / Material UI, and responsive design State management (Redux, Zustand, or React Query) Backend 4+ years with Node.js (Express / NestJS) or Python (Django / FastAPI) Experience designing RESTful and GraphQL APIs Database expertise: MS SQL, MySQL, PostgreSQL, MongoDB, or ClickHouse; query optimization and indexing Familiarity with Redis for caching and session management Data & Analytics Experience integrating with data warehouses (Snowflake, BigQuery, Redshift) Understanding of OLAP concepts, aggregations, and time-series data Exposure to Apache Superset, Metabase, Grafana, or Looker (building or extending) DevOps & Tools Git, Docker, Kubernetes basics CI/CD (GitHub Actions, GitLab CI, or Jenkins) Cloud Cloud platforms: AWS, GCP, or Azure (Lambda, S3, EC2, Functions)