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Remote role, generalist Software Engineer title, and mid-level (3–8 yrs) make competition high.
Fullstack with data engineering and GCP skills transfers across industries but prefers cloud/data domain experience.
Explicit 3–8 years requirement plus mandatory Python, React, data engineering, and cloud skills increase filter strictness.
Design, develop, and maintain end-to-end full stack applications with scalable backend and React.js frontend interfaces.
Build and manage data-heavy backend systems including ETL/ELT pipelines on cloud data platforms (GCP preferred) using Python.
Collaborate with AI, Data, Cloud, and Product teams to translate business requirements into scalable technical solutions and prototype AI/ML accelerators and MVPs.
3-8 years of experience in full stack development with expertise in Python backend and React.js frontend.
Hands-on experience in Data Engineering, Data Warehousing, and working with Big Data/cloud platforms (BigQuery, Snowflake, GCP preferred).
Strong knowledge of ETL/ELT pipelines, data modeling, REST APIs, microservices, and CI/CD pipelines.
Work Experience Required: 3-8 years; Visa Sponsorship: Not available (no visa sponsorship or transfer).
Technically strong in backend data engineering and Python development balanced with frontend React.js skills.
Experience or strong interest in AI/ML and Generative AI technologies to contribute in prototyping and product innovation.
Able to work in cloud environments (preferably GCP) and translate complex business requirements into scalable software solutions.