Lead Consultant | Cloud Platform | Google Cloud - Architecture

1. Metadata management
2. Policy enforcement
3. Semantic modeling
4. Observability and telemetry
5. Side effect capability injection GCP Testing Functional testing Behavioral testing Languages Python Frameworks and Platforms FastAPI ARQ Kubernetes Pytest Minimum Years of Experience: 8+ years Certifications Needed: None Top 3 responsibilities you would expect the Subcon to shoulder and execute: Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects Should be able to manage offshore resources also Interview Process (Is face to face required?) Virtual Any additional information you would like to share about the project specs/nature of work: Project Code: Allocation code for HLDI

At least 10 years of experience in IT industry. We are seeking a Python-based platform engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark through a well-defined API contract. This role focuses on building platform capabilities, not simply consuming existing data tools enabling consistent, secure, and scalable access to Spark-based data pipelines. Should have good hands-on experience in GCP skills. Should be able to interact, coordinate with the client. Should be able to manage offshore resources also. Should be able to work with other onsite team members and client. Tech Skills Python, Pyspark Experience building control planes Design patterns

1. Modular containerized services
2. Asynchronous processing
3. Job-based work queue execution

• $78.00 per hour