IN_Senior Associate_Python_Advisory Corporate_Advisory_Bangalore

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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.

Responsibilities:

Should independently deliver scoped features and be responsible for top-notch end-to-end quality of deliverables through unit tests/automated tests. Closely collaborate with product managers, leads, and architects for the definition of new features and review of code and deliverables.

Mandatory skill sets:

· Proficiency in Python/Django, Django Rest Framework · Proficiency in relational databases - any RDBMS - (Oracle, HANA, MySQL, PostgreSQL ) · Proficiency in UI technologies - React, Backbone, Angular, HTML, CSS. · Proficiency in GIT, Jenkins, CI/CD pipelines, Docker, Kibana · Proficiency with Kubernetes · Proficiency in test automation

Preferred skill sets:

· Proficiency in data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. · Experience building AI applications, preferably Generative AI and LLM based apps. · Broad understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph. · Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.

Years of experience required:

4 to 9 years

Education qualification:

BE/B.Tech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date