Python platform engineer

The ideal candidate has strong experience developing production-grade APIs in Python that interface with data frameworks or pipeline orchestration systems, packaging services using containers (Docker/Kubernetes), and operating them as reusable platform services. This role is suited for engineers who have built data or compute platforms, service layers, or internal frameworks translating complex Spark capabilities into stable, contract-driven APIs for broad enterprise use.

Job Details:

Must Have Skills
Python, Pyspark, API, Microservices CI/CD, GCP, ETL

Nice to have skills
ETL

Detailed Job Description
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.

The ideal candidate has strong experience developing production-grade APIs in Python that interface with data frameworks or pipeline orchestration systems, packaging services using containers (Docker/Kubernetes), and operating them as reusable platform services. A proven background in CI/CD automation using GitHub Actions is required, along with solid software engineering practices around testing, versioning, and deployment.

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.
This role is suited for engineers who have built data or compute platforms, service layers, or internal frameworks translating complex Spark capabilities into stable, contract-driven APIs for broad enterprise use.