Posted:19 hours ago|
Platform:
On-site
Part Time
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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 Description & Summary: Python Developer A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
· Build and maintain backend services using Python (FastAPI, Flask, or Django). · Design and implement RESTful APIs for front-end consumption and LLM integrations. · Handle LLM API orchestration (prompt routing, response handling, error management). · Manage and optimize databases (PostgreSQL, MySQL, MongoDB). · Implement robust authentication, authorization, and security practices. · Ensure scalability, performance, and fault tolerance of backend systems. · Write unit and integration tests for backend logic. · Collaborate with DevOps to deploy and monitor services in cloud environments. ·
Mandatory skill sets:
1. Strong experience with Python (FastAPI/Flask/Django). 2. Knowledge of SQL and NoSQL databases. 3. Hands-on experience with API development and integration. 4. Understanding of cloud platforms (AWS/Azure/GCP). 5. Experience with containerization (Docker) and CI/CD pipelines. 6. Git/GitHub version control.
Preferred skill sets:
1. Exposure to LangChain, LlamaIndex, or other LLM orchestration frameworks. 2. Knowledge of message queues (Kafka, RabbitMQ, Celery). 3. Familiarity with caching systems (Redis, Memcached). 4. Understanding of serverless architectures.
Years of experience required:
Experience and Qualifications · 7–10 years in backend development. · Prior experience integrating with AI/ML or external APIs is a plus.
Education qualification:
o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of Engineering Degrees/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, Coaching and Feedback, 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 {+ 43 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
PwC
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