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Remote role, common fullstack title, mid-level experience band, and metro locations raise competition.
Core skills are transferable across industries but data engineering specialization raises sensitivity.
Explicit 3–8 years plus mandatory Python, React, data engineering and cloud skills increase filtering strictness.
Design, develop, and maintain end-to-end full stack applications with a focus on scalable backend systems and responsive frontend interfaces using Python and React.js.
Build and manage data-heavy backend systems including data engineering, data warehousing, ETL/ELT pipelines on cloud platforms like GCP, and deploy scalable microservices.
Collaborate with cross-functional AI, Data, and Cloud teams to prototype AI/ML and Generative AI MVPs and accelerators driving innovative enterprise solutions.
3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
Hands-on experience with data engineering, data warehousing, ETL/ELT pipelines, and large-scale datasets (e.g., BigQuery, Snowflake).
Experience working with cloud platforms (preferably GCP) and deploying scalable applications and microservices.
No visa sponsorship or transfer available; must be eligible to work as per employer's requirements.
Demonstrates strong technical depth in backend data engineering and breadth in frontend development and AI product thinking.
Capable of working with ambiguous requirements to deliver scalable, high-quality software in Agile environments with CI/CD practices.
Interested or experienced in AI/ML and Generative AI technologies to contribute to innovation and rapid prototyping.