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Agentic Data Engineer (AWS)

Agentic Data Engineer (AWS)

Sustainability Economics.aibangalore, karnataka, in
7 days ago
Job description

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 .
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    Aws Data Engineer • bangalore, karnataka, in