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Strong brand, metro location, and generalist fullstack role increase applicant competition.
Core Python, React, and ETL skills are broadly transferable despite optional domain-specific digital-twin expertise.
Multiple mandatory tech stacks (Python, React, Snowflake/BigQuery, Airflow) plus onsite requirement increase screening rigour.
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Design, develop, and maintain scalable web applications using Python backend frameworks and ReactJS frontend.
Build and maintain ETL/ELT data pipelines, ensuring data validation, monitoring, and quality checks to support workflows and integrations.
Operate in cloud or on-prem environments to support application availability, scalability, and monitor/troubleshoot application and pipeline performance.
Strong Python programming skills with frameworks like FastAPI, Flask, or Django.
Solid experience with ReactJS and modern frontend development (hooks, state management, REST APIs).
Experience with data platforms such as Snowflake, BigQuery, or Redshift, and workflow tools like Airflow, Prefect, or Luigi.
Onsite work required five days a week; Visa sponsorship not available; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building data-driven web applications with end-to-end ownership of backend and frontend components.
Skilled in integrating and automating data workflows with emphasis on data quality and governance.
Comfortable working in cross-functional teams involving data engineers, product teams, and designers in an onsite setting.