Agentic cloud Data Engineer

Location:

Bengaluru, Karnataka

About the Company:

Sustainability 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
  .