4 days ago
Pune, India or Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain end-to-end full-stack applications with scalable backend systems and intuitive frontend interfaces.
- Build data-heavy backend systems focused on data engineering, data warehousing, and data modeling.
- Develop Python ETL/ELT pipelines to ingest and process structured and unstructured data into cloud data platforms.
- Create responsive, high-performance React.js interfaces with data visualizations and rich user interactions.
- Use BigQuery, Snowflake, and other cloud data warehouse and Big Data technologies for large-scale data processing.
- Build and deploy scalable microservices using GCP, Cloud Run, Cloud Functions, or equivalent services.
- Translate business requirements into scalable technical solutions with cross-functional AI, data, cloud, and product teams.
- Implement CI/CD pipelines, automated testing, and engineering practices for reliable software delivery.
- Experiment with AI/ML and generative AI use cases while rapidly prototyping MVPs and accelerators.
- Explore emerging technologies and contribute to innovation-driven product development.
Requirements
- 3–8 years of full-stack development experience with strong Python backend and React.js frontend expertise.
- Hands-on experience with data engineering, data warehousing, data modeling, and processing large-scale datasets.
- Understanding of ETL/ELT pipelines and data architecture principles.
- Experience with cloud platforms; GCP is preferred, while AWS or Azure is acceptable.
- Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
- Working knowledge of REST APIs, microservices architecture, and backend system design.
- Proficiency with Git and CI/CD pipelines.
- Exposure to or strong interest in AI/ML and generative AI technologies, including LLMs and prompt engineering, is highly desirable.
- Strong problem-solving, analytical, communication, collaboration, adaptability, and learning skills.
Categories
Data EngineeringFull Stack
