Description

Python Developer / GCP Data & API Engineer | Experience: 3-8 Years | Mandatory Skills: Python, GCP, BigQuery, FastAPI, Flask, API Development, Cloud Storage, Bigtable, Composer (Airflow), Docker, SQL | Preferred Skills: Vertex AI, Gemini, LangChain, Dataproc, Banking Domain | Job Description: Proficient in Python programming with strong experience in API development using frameworks such as FastAPI and Flask. Hands-on experience using GCP client libraries and services including BigQuery, Bigtable, Cloud Storage, and related cloud-native technologies. Good understanding of Google Cloud Platform fundamentals with at least one GCP foundational certification. Strong knowledge of API development lifecycle, authentication and authorization mechanisms, API middleware, logging, tracing using OpenTelemetry, and microservices architecture. Experience developing and deploying containerized applications using Docker or similar containerization technologies. Hands-on experience with GCP Composer (Apache Airflow), including writing and maintaining Airflow DAGs using Python. Basic understanding of Dataproc. Strong expertise in BigQuery including SQL query development, partitioning, clustering, UDFs, joins, BigQuery IAM, query optimization, standard BigQuery functions, and query federation. Good understanding of Python coding standards and best practices, including PEP8 conventions. Experience with unit testing frameworks such as PyTest and knowledge of Git hooks, CI/CD practices, and API integration with internal and external systems. Good problem-solving, debugging, and analytical skills. Roles & Responsibilities: Design, develop, and maintain scalable Python-based APIs and microservices on Google Cloud Platform. Build REST APIs using FastAPI, Flask, and related frameworks while implementing secure authentication and authorization mechanisms. Develop and optimize BigQuery solutions for data processing, analytics, reporting, and data integration workloads. Create and maintain Airflow DAGs in GCP Composer for workflow orchestration and automation. Integrate applications with GCP services including BigQuery, Bigtable, Cloud Storage, and Dataproc. Implement logging, monitoring, tracing, and observability using OpenTelemetry and cloud-native monitoring tools. Build and deploy containerized workloads using Docker and cloud-native deployment practices. Follow coding standards, conduct code reviews, write unit tests, and ensure application quality through automated testing. Collaborate with cross-functional teams to integrate APIs and data solutions with enterprise systems. Good to have experience with Generative AI solutions using Vertex AI, Gemini, and LangChain frameworks. Banking domain experience will be an added advantage

Key Skills

Education

Any Gradute