Location: Ahmedabad (On-Site) | Type: Full-Time | Industry: AI, Sustainability, Regulatory Data Intelligence
Join our pioneering AI-agent powered data insights startup as a Senior Data Engineer and help transform how organizations approach compliance, sustainability, and regulatory reporting. Our platform delivers intelligent, proactive insights and alerts—empowering businesses to stay ahead of their environmental and governance responsibilities.
In this critical on-site role, you’ll architect scalable data infrastructure, lead data engineering initiatives, and build the backbone that powers our AI agents with high-quality, actionable sustainability data.
🛠 Key Responsibilities
- Design and build scalable data pipeline architectures to feed AI systems with high-quality information
- Develop robust ETL/ELT processes for ingesting diverse compliance and sustainability data
- Construct data models optimized for AI-driven insights, alert generation, and trend detection
- Enable real-time monitoring systems that proactively trigger sustainability alerts
- Collaborate closely with data scientists and AI engineers to enhance predictive capabilities
- Implement data governance, validation, and quality standards tailored for regulatory use
- Mentor and lead junior data engineers to ensure effective data architecture implementation
- Stay ahead of the curve by researching and integrating innovative data technologies
🔧 Tech Stack & Skills Required
- Strong experience in building ETL/ELT pipelines for large, diverse datasets
- Advanced SQL and modern data transformation techniques
- Proficient in Python and/or PySpark for large-scale data processing
- Experience with Databricks or other unified analytics platforms
- Hands-on with dbt (Data Build Tool) for scalable transformations
- Skilled in cloud platforms like AWS, Azure, or GCP
- Experience with data warehouses optimized for AI and sustainability metrics
- Familiarity with sustainability data or ESG frameworks is a significant plus
🎓 Qualifications
- 6–8 years of experience implementing data lake and pipeline architectures using cloud technologies
- Proven track record in data engineering for AI or analytics applications
- Expertise in building data warehousing solutions for reporting and compliance use cases
- Solid understanding of big data frameworks such as Spark and Hadoop
- Programming proficiency in Python, SQL, and Pandas
- Experience with CI/CD pipelines for data engineering workflows
- Strong leadership and mentoring capabilities
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Passionate about using data to enable environmental and social impact through technology
🌱 Why Join Us?
- Join a mission-driven startup building intelligent systems for a sustainable future
- Work on a powerful AI-driven data platform with real-world global impact
- Collaborate with a passionate team of engineers, data scientists, and sustainability experts
- Lead from the front in a growing and highly innovative organization
📬 Apply Now
Ready to lead data innovation for sustainability?
Send your CV and any relevant project links.