Agentic cloud Data Engineer (AWS)

As a skilled and experienced Agentic Data Engineer at Sustainability Economics.ai in Bengaluru, Karnataka, you will be responsible for designing intelligent, scalable, and adaptive data architectures that support next-generation AI-based systems and applications. Your role will involve building adaptive data pipelines, optimizing data models, integrating AI-driven components, and working with cross-functional teams to turn business requirements into technical solutions. Here's what you can expect in this role: Key Responsibilities: - Design, develop, and maintain AI-driven, agentic data pipelines and intelligent end-to-end architectures. - Build and optimize data models and schemas to adapt to evolving business needs. - Integrate AI-driven components and advanced data workflows into production systems. - Implement scalable pipelines on AWS using services such as S3, Glue, EMR, Lambda, and DynamoDB. - Develop and manage ETL/ELT pipelines, integrating third-party APIs and diverse data sources. - 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 for clarity and maintainability. - Explore emerging tools in agentic systems, orchestration frameworks, and AWS for continuous improvement. Key Requirements: - 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. - Proficiency in AWS services like S3, Glue, EMR, Lambda, DynamoDB, and Postgres. - Hands-on experience in data scraping, data modeling, schema design, and relational database concepts. - Strong knowledge of SQL, including performance tuning and query optimization. - Prior experience in integrating APIs and AI components into data pipelines. What You'll Do: - Build adaptive data pipelines that can self-optimize and scale with business needs. - Develop systems supporting multimodal data (text, geospatial). - Enable real-time transformations in pipelines using agentic architectures. - Contribute to the evolution of agentic databases and autonomous data workflows. What You Bring: - Passion for AI, agentic architectures, and next-gen data systems. - Strong problem-solving skills and a drive for innovation. - Ability to collaborate across engineering, product, and data science teams. - Agile mindset, adaptability, and eagerness to learn emerging technologies. In summary, at Sustainability Economics.ai, you will have the opportunity to work on a first-of-its-kind AI + clean energy platform, collaborate with a mission-driven team, and contribute to the intersection of AI, design, and sustainability.,