Renewable Energy Jobs in Bengaluru.
All active Renewable Energy roles based in Bengaluru.
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Who We Are & Why Join Us
Avathon is the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality where latency, constraints, and failure have real-world consequences.
Cutting-Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.
High-Growth Environment – Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
Meaningful Impact – Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: Avathon
Position Summary:
Avathon’s Industrial AI Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing Aviation, Manufacturing, Mining, Renewable and Oil & gas energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our Data Engineering and Science platform works across multiple capital intensive industrial asset types to offer insights to our customers.
Join us in developing and applying cutting-edge Enterprise Data Engineering solutions for commercial and industrial AI SaaS applications. We are looking for candidates with strong expertise in large scale Data Engineering, building scalable ETL pipelines to enable our AI enabled Saas Asset Performance Management. As a Senior Data platform Engineer you will be working closely with team members across domains with deep technical skills and Industrial AI domain.
What you will do:
- Work on engineering projects to design, construct, install, test and maintain highly scalable data management systems (data lakes, warehouses, pipelines) to ensure secure, efficient data flow and accessibility for analytics and AI/ML
- Building robust ETL pipelines and automating data workflows. Focus on automating data management, implementing DevOps principles (CI/CD, monitoring), and collaborating on data architecture.
- Utilise Key tools include Python, SQL, Cloud platforms (AWS/Azure/GCP), Kafka, Spark, and Docker.
- Developing and maintaining scalable ETL and MLOps pipelines and workflows.
- Enforcing data quality rules to ensure consistency, completeness, and accuracy across ETL processes.
- Designing, constructing, testing, and maintaining highly scalable data management systems.
- Mentoring a team of Data Analysts, Data Engineers, and Data Quality Specialists.
- Fostering a culture of continuous learning, collaboration, and data-driven decision-making.
You’ll have:
- Excellent programming skills in Python, along with deep expertise in relational databases (MSSQL/MySQL/Postgres).
- 5+ years of hands-on experience in data engineering with a solid foundation in architecture principles.
- 1+ years of leadership or mentorship experience of data teams.
- Strong understanding of serverless architectures and building scalable ETL pipelines.
- Effective communication and leadership skills, capable of driving projects to completion.
- People and project management experience is a plus.
It would be great if you had:
- Experience in Industrial Engineering Systems like IoT time series data or even old legacy systems e.g. PLC, SCADA systems.
- Experience with cloud-native tools, particularly AWS or GCP.
- Willingness to adopt new technologies to enhance data quality and ETL processes.
- Hands-on experience in DevOps, focusing on cloud-native technologies.
- Expertise in debugging and troubleshooting ETL pipelines, data transformations, and integrity issues.
Other requirements:
This is 5 days onsite work week schedule
A design/ coding challenge is a prerequisite for this position.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
Ready to apply?
Apply to Avathon
Who We Are & Why Join Us
Avathon is the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality where latency, constraints, and failure have real-world consequences.
Cutting-Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.
High-Growth Environment – Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
Meaningful Impact – Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: Avathon
As a Senior Data Engineer in the Engineering team:
Data engineering team builds the robust pipelines that feed the analytics driving the renewable energy sector, enabling real-time monitoring, forecasting, predictive maintenance, and grid optimization for solar, wind, and other sources, ensuring efficiency, reliability, and effective integration into smart grids by managing massive data flows from IoT devices, PLC systems and smart meters. In essence, data engineers create the "data highways" that allow data scientists and AI to turn raw energy data into actionable intelligence, making renewable energy systems smarter, more efficient, and more reliable for a sustainable future
Join us in:
- Building and optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems.
- Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains
- Collaborating with cross-functional teams to deliver end-to-end data solutions that drive business insights.
- Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability.
- Working on complex data engineering challenges that push the boundaries of cloud data infrastructure.
You'll have:
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers.
- Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka.
- Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses.
- Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake.
- Familiarity with workflow orchestration tools like Airflow or Prefect.
- Proven ability to lead data engineering teams and mentor junior engineers.
It would be great if you have:
- Experience working with IoT or real-time streaming data.
- Knowledge of data governance frameworks and best practices.
- Exposure to MLOps workflows and integrating data with machine learning models.
- Experience in the energy or manufacturing sector or familiarity with time-series data.
- A strong understanding of data warehousing concepts, including Kimball model design.
- A deep understanding of data security and compliance requirements, particularly in cloud environments.
**A PLUS if you provide the link to your GitHub Website
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
Ready to apply?
Apply to Avathon