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Tier-1 brand, metro location and broad fullstack-plus-data skillset increase applicant competition moderately.
Core fullstack and data pipeline skills are broadly transferable across industries despite optional digital-twin niche.
Multiple mandatory technical requirements (Python, React, data platforms, Airflow) raise shortlisting rigor to medium.
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Design, develop, and maintain scalable Python backend and ReactJS frontend web applications focused on Digital Twin technologies.
Build and maintain ETL/ELT data pipelines supporting data workflows and integration, ensuring data quality and validation across systems.
Collaborate with cross-functional teams and manage application infrastructure including cloud or on-prem environments, ensuring performance, scalability, and monitoring.
Strong proficiency in Python backend frameworks such as FastAPI, Flask, or Django.
Solid experience in ReactJS with modern frontend development practices (hooks, state management, REST APIs).
Experience with data platforms like Snowflake, BigQuery, or Redshift and workflow tools such as Airflow, Prefect, or Luigi.
Work Experience Required: Not explicitly mentioned in the JD; this position requires onsite work five days a week and does not offer visa sponsorship.
Experienced in developing full-stack web applications with a strong focus on data pipeline development and integration in large-scale environments.
Comfortable working onsite full-time in a collaborative, multi-disciplinary setting involving data engineering, frontend development, and product teams.
Familiarity or interest in Digital Twin concepts, real-time data processing, and 3D/sensor-driven data environments to align with domain-specific technical challenges.