Jobs → Data & Analytics → Full Stack Data & Analytics Engineer

About the Role We are seeking a Full-Stack Data & Analytics Engineer to join our team. This role involves building and maintaining scalable data pipelines, designing interactive analytics dashboards, and implementing robust data security measures for manufacturing and supplier data. Key Responsibilities • Build, optimize, and maintain scalable ETL/ELT pipelines and database schemas for manufacturing and supplier data • Ingest key supplier metrics into a secure, centralized data warehouse • Implement strict Role-Based Access Control (RBAC) policies to safeguard sensitive data • Design robust ingestion guardrails, data validation protocols, and comprehensive exception logging • Design and implement responsive UI components for supply chain visualization • Construct intuitive analytics dashboards for tracking real-time manufacturing constraints • Write script automation for proactive notifications via email and bug tracking tools • Establish long-term system audit logs and trace records Requirements • Deep expertise in SQL for complex querying, database design, indexing, and optimization • Advanced Python proficiency for data transformation, pipeline building, and script automation • Strong fundamentals in modern Web Standards—HTML5, CSS3, JavaScript (ES6+) • Hands-on experience with Big Data Ecosystems for scalable processing frameworks • Proven experience integrating with public Cloud services (GCP, AWS, Azure) • Hands-on proficiency in AngularJS for building dynamic, single-page applications • Experience with data security and RBAC implementation