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Mid-level generalist title, metro location, broad skillset, and company brand create high applicant competition.
Core Python and cloud skills are transferable, but finance index domain and Oracle/ETL requirements add moderate specialization.
Multiple specific mandatory skills and explicit FastAPI 4+ years plus cloud and data stack increase filter strictness.
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Design and develop Python-based serverless applications and APIs using FastAPI on Google Cloud Platform (GCP).
Build and optimize data processing architectures leveraging GCP services like BigQuery, Cloud Functions, Cloud Run, Pub/Sub, and Cloud Storage.
Provide mentorship on Python best practices and cloud-native serverless architecture; maintain and support the complex data warehouse environment including 1st and 2nd line application support.
Strong expertise in Python development with deep understanding of design patterns and OOP.
At least 4 years of experience building high-performance APIs using FastAPI.
Hands-on experience with Google Cloud Platform (GCP) and serverless/cloud-native architecture.
Proficiency in Oracle PL/SQL and experience with RDBMS (Oracle).
Experienced in designing scalable, event-driven, microservices architectures on cloud platforms, specifically GCP.
Skilled in working within and maintaining complex data warehouse environments and data pipeline orchestration.
Able to lead and mentor teams on Python and cloud-native design with a focus on operational support and infrastructure automation.