Job
Description
You will be working at TRST01, a leading Sustainable Tech company based in Hyderabad. TRST01 specializes in innovative solutions for Sustainable Supply Chain management, Automated ESG Reporting, and Climate Action measurement through its digital Measurement, Reporting, and Verification (dMRV) Solution. By leveraging decentralized technology and blockchain, TRST01 delivers reliable data to assist businesses in achieving their ESG goals effectively. As a Data Modeler at TRST01, you will play a crucial role in designing, implementing, and optimizing data models that support carbon accounting, lifecycle analysis, and sustainability reporting. Your responsibilities will include collaborating with cross-functional teams, such as data scientists, software engineers, and sustainability experts, to ensure the integrity, accuracy, and scalability of environmental data models. Key Responsibilities: - Design and develop robust data models for tracking carbon emissions, energy consumption, and sustainability metrics. - Utilize CFRD datasets to establish reliable and scalable data pipelines for climate impact analysis. - Develop entity-relationship diagrams (ERDs) and schema designs to optimize storage and retrieval of climate-related data. - Collaborate with data engineers and scientists to integrate climate and sustainability data into existing platforms. - Implement data validation and quality control measures to ensure accuracy in sustainability reporting. - Support the development of AI/ML models for predictive analysis of carbon reduction strategies. - Ensure compliance with global environmental regulations (such as GHG Protocol, CSRD, and TCFD) in data modeling practices. - Optimize data models for real-time and batch processing of sustainability metrics. - Work with business intelligence teams to develop dashboards and reports based on modeled climate data. - Stay updated with the latest advancements in climate tech, data modeling, and carbon accounting methodologies. Required Qualifications: - Bachelor's or Master's degree in Data Science, Computer Science, Environmental Science, Sustainability, or a related field. - 1-3+ years of experience in data modeling, database design, and schema optimization. - Expertise in CFRD (Carbon Footprint and Reduction Data) and related frameworks. - Strong understanding of relational and non-relational databases (SQL, NoSQL, GraphDB, etc.). - Hands-on experience with big data tools (e.g., Apache Spark, Hadoop) and ETL pipelines. - Proficiency in data modeling tools such as Erwin, Lucidchart, or similar. - Experience working with climate datasets (e.g., satellite imagery, emission inventories, LCA data). - Familiarity with carbon accounting standards like GHG Protocol, SBTi, and ISO 14064. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications: - Experience in cloud-based data solutions (AWS, Azure) for sustainability analytics. - Exposure to machine learning models for climate risk assessment. - Familiarity with GIS-based modeling for environmental impact analysis.,
