- Location
- Pune, India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Entry
- Education
- Master
- Clearance
- Not required
- Closing date
- Today
- Source
- Workday
Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.
Job
Summary: 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.
Responsibilities
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, caching)
Years of experience required:
8+ years
Education qualification:
BE/B.Tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Python (Programming Language)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
May 19, 2026