Agentic Data Engineer

Location: 

Bengaluru, Karnataka 

About the Company: 

Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion. 

Role Summary: 

We are seeking a skilled and experienced Agentic Data Engineer with a minimum of 2 years of experience in AI-driven data pipelines, agentic databases, and orchestration frameworks. The role focuses on designing intelligent, scalable, and adaptive data architectures that support next-generation AI-based systems and applications. The ideal candidate will have a strong background in AWS services (including Glue, EMR, and Lambda), along with expertise in data modelling, Python, SQL, and hands-on experience in integrating third-party APIs from the ground up. 

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 that 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 and stakeholders 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. 

Key Requirements  

Education and Experience: 

• Bachelor’s 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. 

What You’ll Do: 

• Build adaptive data pipelines that can self-optimize and scale with business needs. 
• Develop and manage systems that support 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 ability and a drive for innovation. 
• Ability to collaborate across engineering, product, and data science teams. 
• Agile mindset, adaptability, and eagerness to learn emerging technologies. 

Why Join Us 

• Shape a first-of-its-kind AI + clean energy platform. 
• Work with a small, mission-driven team obsessed with impact. 
• An aggressive growth path. 
• A chance to leave your mark at the intersection of AI, design, and sustainability.