Data Engineer (ETL)

Company Description

Trillectric is at the forefront of energy management innovation with its advanced hardware and data analytics platform. Our solutions enable real-time visibility and control over various energy loads such as electric vehicles, solar, batteries, heating, and cooling systems, all synchronized with dynamic market signals. By empowering utilities with predictive analytics and demand response strategies, Trillectric enhances grid reliability and promotes sustainable energy use. Committed to building a seamlessly integrated energy ecosystem, we aim to reshape the future of energy management with smarter, greener technology solutions.

Role Description

This is a full-time, on-site role for a Data Engineer (ETL), located in South Delhi. The primary responsibilities include designing, implementing, and maintaining Extract, Transform, Load (ETL) pipelines to manage data workflows. The Data Engineer will also focus on developing data models, creating and maintaining data warehouses, and analyzing data to generate actionable insights. Collaboration with cross-functional teams to optimize data architecture and improve data-driven decision-making will be a key part of the role.

Qualifications

• Strong expertise in Data Engineering, including ETL processes
• Experience in Data Modeling and designing efficient database structures
• Proficiency in building and maintaining Data Warehousing solutions
• Knowledge of Data Analytics to extract actionable insights
• Proficiency in programming languages such as SQL, Python, or Java
• Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) is a plus
• Strong problem-solving and analytical skills
• Bachelor's or Master's degree in Computer Science, Data Science, or related fields
• Experience in the energy sector or knowledge of the energy management domain is a bonus