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Mid-level generalist cloud role in Gurgaon with broad tech requirements increases applicant competition.
Cloud-native Python and data pipeline skills are easily transferable across industries despite indexing domain knowledge.
Requires 4+ FastAPI years plus mandatory GCP, Python, BigQuery, and Terraform skills.
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Lead design and development of Python-based, serverless, event-driven, and microservices architectures on Google Cloud Platform, including APIs and data pipelines.
Maintain and evolve a complex data warehouse environment supporting index calculation platforms, ensuring scalability, resilience, and cost efficiency.
Mentor team members on Python best practices and cloud-native design; provide 1st and 2nd line application support for ICOS systems.
Strong expertise in Python development including design patterns, OOP, and FastAPI with 4+ years of API development experience.
Hands-on experience with Google Cloud Platform (preferred), serverless technologies, and cloud services such as Cloud Functions, Cloud Run, BigQuery, Pub/Sub.
Good knowledge of Oracle PL/SQL and RDBMS; familiarity with ETL tools (Informatica Powercenter) and scheduling tools (Control-M) beneficial.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable, cloud-native applications in complex data and business process environments, especially within index or financial data domains.
Operationally focused on designing resilient, event-driven serverless architectures and optimizing data processing at scale.
Capable of leading technical design, documentation, test strategy, and mentoring peers in best practices and infrastructure-as-code (e.g., Terraform) within CI/CD pipelines.