Agentic cloud Data Engineer (AWS)

Role Overview: You will be joining Sustainability Economics.ai as an Agentic Data Engineer with a focus on designing intelligent, scalable, and adaptive data architectures that support next-generation AI-based systems and applications. The company pioneers the convergence of clean energy and AI to create scalable, intelligent ecosystems driving efficiency, innovation, and long-term impact across industries. Key Responsibilities: - Design, develop, and maintain AI-driven, agentic data pipelines and intelligent end-to-end architectures that support scalable, adaptive systems. - Build and optimize data models and schemas to adapt to evolving business needs, ensuring flexibility across structured and unstructured data. - Integrate AI-driven components and advanced data workflows into production systems for seamless orchestration and automation. - Work with cross-functional teams to turn business requirements into technical solutions. - Implement scalable pipelines on AWS using services such as S3, Glue, EMR, Lambda, and DynamoDB for reliability and performance. - Develop and manage ETL/ELT pipelines, integrating third-party APIs and diverse data sources with accuracy and consistency. - Apply best practices in data governance, lineage, and observability with modern monitoring tools. - Optimize SQL queries, storage, and throughput to improve efficiency across data systems. - Document pipelines, data flows, and transformations to ensure clarity and maintainability. - Explore emerging tools in agentic systems, orchestration frameworks, and AWS to continuously strengthen the data engineering ecosystem. Qualification Required: - Bachelors degree in Computer Science, Data Engineering, or a related field. - Minimum of 2 years of experience in data engineering, with exposure to AI-driven or agentic systems. - Strong proficiency in AWS services including S3, Glue, EMR, Lambda, DynamoDB, and Postgres, along with familiarity with AI-focused databases. - Hands-on experience in data scraping, data modeling, schema design, and relational database concepts. - Solid working knowledge of SQL, including performance tuning and query optimization best practices. - Prior experience in integrating APIs and AI components into data pipelines.,