Renewable Energy Data Solutions Architect

1 month ago


Bengaluru, Karnataka, India neuroGrid Full time

About neuroGrid

We are revolutionizing renewable energy development with our purpose-built platform designed to simplify complexities. By leveraging AI-powered automation and advanced data integration, we empower developers to make smarter decisions, streamline operations, and accelerate projects.

About the Role

As a Data Engineer (AI) at neuroGrid, you will play a crucial role in building scalable solutions that drive our AI-powered platform, working closely with our Head of Engineering and cross-functional teams to transform the future of renewable energy.

Key Responsibilities

  • Design, build, and maintain scalable ETL data pipelines integrating data from hundreds of renewable energy sources into our AI-powered platform.
  • Collaborate with the Head of Engineering to develop high-performance data solutions driving innovation and execution.
  • Optimize data storage and retrieval systems ensuring real-time data access, reliability, and top-tier performance across the platform.
  • Evaluate data integrity, consistency, and security to enable AI-driven insights for renewable energy developers.
  • Contribute to shaping the product roadmap, driving the future of clean energy with innovative solutions.

Required Skills and Qualifications

  • Strong foundation in data engineering concepts including data structures, algorithms, and system design.
  • Proven experience in building scalable, high-performance data pipelines in cloud environments (AWS, GCP, or Azure).
  • Proficiency in programming languages like Python, SQL, Rust, or Scala.
  • Hands-on experience with big data tools such as Hadoop, Spark, and data pipeline orchestration tools.

Estimated Salary: $140,000 - $170,000 per year



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