IN_Senior Associate_Python Backend Engineer _Data& Analytics_Advisory_Pune

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

We’re looking for a hands ‑ on Python backend engineer to design, build, and optimize high ‑ performance microservices and APIs in a cloud ‑ native environment. The ideal candidate brings strong FastAPI and asynchronous Python skills, solid data/access patterns, and experience operating services on SAP BTP (Kyma/Cloud Foundry) with robust observability and performance practices.

Build secure, performant RESTful APIs and services using FastAPI and async Python   Develop background processing and data pipelines (Redis queues, multi ‑ processing/threading)   Model and manage relational data with SQLAlchemy/Alembic; write efficient SQL on Postgres   Ensure quality with automated unit tests (PyTest) and performance tests (Locust)   Deploy and operate microservices on Kubernetes/SAP BTP (Kyma, Cloud Foundry)   Implement observability (Prometheus, Grafana) and optimize performance end ‑ to ‑ end   Containerize and ship services with Docker; manage dependencies via Poetry/venv/pip   Collaborate on architecture reviews, code reviews, and CI/CD best practices (Git)   Mandatory skill sets:   4–5 years of Python backend development with:   FastAPI, asynchronous Python, RESTful API design   SQLAlchemy, Alembic, Postgres, strong SQL fundamentals   Redis (caching/queues), multiprocessing/multithreading   Unit testing with PyTest; performance testing with Locust   Pandas for data handling where applicable   Microservice architecture (Kubernetes, NGINX Ingress Controller)   Observability with Prometheus and Grafana   Performance engineering in Python (profiling, optimization)   Docker; Bash; Git   Python dependency management (Poetry, venv, pip)   Strong grounding in data structures and algorithms   Preferred skill sets :   Working knowledge of Golang or Node.js (optional)   Experience with Redis Streams/RQ/Celery or similar   API security (OAuth2/OIDC), rate limiting, zero ‑ trust patterns   CI/CD and IaC (e.g., GitHub Actions, ArgoCD, Helm, Terraform)   Cloud reliability patterns (circuit breakers, backoff,