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Data Engineer & Data Visualization Full Stack Developer Role Overview We are seeking a highly skilled Data Engineer & Data Visualization Full Stack Developer to design, develop, and maintain scalable data platforms, interactive dashboards, and web-based applications. The ideal candidate will possess strong expertise in data engineering, analytics, visualization, and full-stack development, enabling the transformation of complex data into actionable business insights through intuitive applications and reporting solutions. Key Responsibilities Data Engineering - Design, develop, and maintain robust data pipelines and ETL/ELT workflows. - Integrate data from multiple sources, including APIs, databases, cloud platforms, and third-party systems. - Ensure data quality, consistency, security, and governance across data ecosystems. - Optimize database performance, storage architecture, and query efficiency. - Build and maintain scalable data warehouses, data marts, and analytical datasets. Data Visualization & Analytics - Develop interactive dashboards, reports, and analytics solutions for business stakeholders. - Create compelling visualizations that communicate KPIs, trends, and actionable insights. - Collaborate with business teams to gather reporting requirements and define success metrics. - Implement real-time and scheduled reporting solutions to support decision-making. Full Stack Development - Design and develop web applications that support data-driven workflows, analytics, and user interaction. - Build responsive and user-friendly frontend interfaces using up-to-date web technologies. - Develop backend services, APIs, and database integrations. - Implement authentication, authorization, and role-based access controls. - Deploy, monitor, and maintain applications in production environments. Required Skills Data Engineering - Strong expertise in SQL, database design, and performance optimization. - Experience building and maintaining ETL/ELT pipelines. - Solid understanding of data warehousing concepts and architecture. - Experience with cloud-based data platforms and storage solutions. Data Visualization - Hands-on experience with Power BI, Tableau, Looker, Grafana, or similar visualization tools. - Ability to build executive dashboards and self-service reporting solutions. - Solid understanding of data storytelling and visualization best practices. Full Stack Development - Proficiency in Python, JavaScript, or similar programming languages. - Frontend development experience using React.js, Angular, or Vue.js. - Backend development experience using Python (FastAPI, Django, Flask), Node.js, .NET, or similar frameworks. - Experience developing and integrating REST APIs. - Robust knowledge of relational and NoSQL databases. Preferred Skills - Python-based automation and scripting. - Google Apps Script automation. - Experience with cloud platforms such as AWS, Azure, or GCP. - Hands-on experience with Apache Airflow, Databricks, Snowflake, BigQuery, or similar technologies. - Knowledge of Docker, Kubernetes, and CI/CD pipelines. - Exposure to Machine Learning and AI-enabled applications. - Understanding of data governance, compliance, and security best practices. Nice to Have - Experience building enterprise analytics and business intelligence platforms. - Experience developing customer-facing dashboards and reporting applications. - Exposure to Agentic AI, Generative AI, or AI-powered analytics solutions. - Experience with real-time data processing and streaming architectures. Key Deliverables - Scalable and reliable data pipelines and warehouse solutions. - Interactive dashboards and analytics platforms. - Full-stack web applications supporting business workflows and data insights. - Automated data processing, reporting, and monitoring solutions. - Secure, production-ready deployments with ongoing maintenance and performance optimization. Data Engineer & Data Visualization Full Stack Developer Role Overview We are seeking a highly skilled Data Engineer & Data Visualization Full Stack Developer to design, develop, and maintain scalable data platforms, interactive dashboards, and web-based applications. The ideal candidate will possess strong expertise in data engineering, analytics, visualization, and full-stack development, enabling the transformation of complex data into actionable business insights through intuitive applications and reporting solutions. Key Responsibilities Data Engineering - Design, develop, and maintain robust data pipelines and ETL/ELT workflows. - Integrate data from multiple sources, including APIs, databases, cloud platforms, and third-party systems. - Ensure data quality, consistency, security, and governance across data ecosystems. - Optimize database performance, storage architecture, and query efficiency. - Build and maintain scalable data warehouses, data marts, and analytical datasets. Data Visualization & Analytics - Develop interactive dashboards, rep experiance: 0 skill: .
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.