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Metro location, recognizable employer and generalist fullstack+data skillset create moderate applicant density.
Fullstack web and data pipeline skills are broadly transferable across industries despite digital-twin preferences.
Specific Python+React+data platform and workflow tool requirements plus onsite constraint increase filter strictness.
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Design, develop, and maintain scalable web applications focused on Digital Twin technologies using Python backend frameworks and ReactJS frontend.
Build and maintain ETL/ELT pipelines and integrate data workflows ensuring data quality and automation to improve efficiency.
Support application infrastructure and monitor performance in cloud or on-prem environments, including troubleshooting and collaborating with cross-functional teams.
Strong Python programming experience with frameworks like FastAPI, Flask, or Django.
Proficient in ReactJS including hooks, state management, and REST API integration.
Experience with data platforms such as Snowflake, BigQuery, or Redshift, and workflow tools like Airflow, Prefect, or Luigi.
Onsite work requirement: must be able to work onsite five days a week; visa sponsorship not available. Work Experience Required: Not explicitly mentioned in the JD.
Experienced software engineer capable of full-stack development across backend (Python) and frontend (ReactJS) involving data pipelines and automation.
Familiar with data governance and quality assurance practices in data-centric applications.
Comfortable working in a highly integrated environment requiring cross-team collaboration and proactive infrastructure support.