Senior Python Developer

1 day ago


Pune, Maharashtra, India Wishtree Technologies Full time

Location : Pune (onsite).

About The Role
We are looking for an experienced Senior Python Developer (3-6 years) to design and scale offline applications, data workflows, and API integrations.

The role requires strong backend engineering expertise, with hands-on experience in workflow automation, third-party API integration, and data processing pipelines.

Key Responsibilities

  • Design and develop automation pipelines and offline applications that integrate with multiple APIs.
  • Build and manage data workflows for ingesting, transforming, and exporting data between systems.
  • Develop resilient task execution frameworks using asyncio-based workers.
  • Integrate with third-party APIs (REST/GraphQL/SDKs) for payments, ads, reporting, and retail systems.
  • Work with relational and non-relational databases like PostgreSQL, MySQL, and MongoDB.
  • Implement caching strategies using Redis to optimize workflows.
  • Ensure workflows are reliable, fault-tolerant, and recoverable.
  • Write and maintain unit, integration, and workflow-level tests.
  • Collaborate with DevOps teams to deploy automation pipelines on Docker/Kubernetes.
  • Conduct performance and load testing using tools like Locust, JMeter, or k6.
  • Participate in architecture discussions, code reviews, and technical planning.

Required Skills & Experience

  • 3-6 years of experience in Python development.
  • Strong understanding of computer science fundamentals (BE/BTech or MS in CS/IT).
  • Hands-on experience with automation scripts, ETL pipelines, or data workflows.
  • Proficiency with task queues and schedulers (Celery, RQ, Airflow, APScheduler).
  • Strong API integration skills (REST, GraphQL, SDKs).
  • Familiarity with asynchronous programming (asyncio, aiohttp).
  • Database experience with PostgreSQL/MySQL/MongoDB, including query optimization.
  • Experience with Redis for caching and background jobs.
  • Knowledge of error handling, retries, and backoff strategies.
  • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
  • Understanding of monitoring tools (Prometheus, Grafana, ELK Stack).
  • Cloud experience (AWS, GCP, or Azure) for scalable deployments.
  • Experience with pytest or unittest for test-driven development.
  • Exposure to message queues (Kafka, RabbitMQ, SQS) and event-driven systems.

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