Tech Stack

Description

You will design and build full stack applications, focusing on data-heavy backend systems and intuitive frontends. You'll rapidly prototype high-impact accelerators and MVPs using emerging technologies like AI/ML, collaborating with cross-functional teams to shape next-generation intelligent enterprise solutions.

Requirements

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• 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, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization.