Pwc
Data, Analytics & AI
IN_Manager_PythonBackendDevelopers_DataandAnalytics_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Manager candidates.
“IN_Manager_ Python Backend Developers_Data and Analytics_Advisory_Bangalore at Pwc. Skills: Python Backend Development, Python 3, FastAPI, Flask, Django REST Framework, microservices architecture, distributed systems, event-driven design, Docker, Kubernetes, AWS, Azure, GCP. designing and building data infrastructure and systems. developing and implementing data pipelines”
What You'll Achieve.
transforming raw data into actionable insights; enabling informed decision-making; driving business growth; deliver resilient services that support business growth
Industry & Context.
resourceful; collaborative problem solver; Analytical mindset; problem-solving ability; Analytical Thinking
Available for Work Visa Sponsorship? No, Government Clearance Required? No
What They're Looking For.
Must Have
5–8 years of experience in Python Backend Development, Python 3, OOP, async programming, clean code practices, RESTful APIs, FastAPI, Flask, Django REST Framework, microservices architecture principles, service decomposition, stateless design, API gateways, event driven systems, REST, messaging queues, event streaming, relational and NoSQL databases, PostgreSQL, MySQL, MongoDB, Redis, ORMs, Containerization, orchestration, Docker, Kubernetes, Cloud-native development, AWS, Azure, GCP, security best practices, OAuth2, JWT, HTTPS, secrets management, logging, monitoring, distributed tracing, unit, integration, and API tests, PyTest, CI/CD pipelines, Git-based workflows, DevOps collaboration, distributed systems concepts, scalability, fault tolerance, eventual consistency, Snowflake SnowPro Core certification, Structured Query Language (SQL)
Nice to Have
Analytical mindset with problem-solving ability
What You'll Do.
designing and building data infrastructure and systems
developing and implementing data pipelines
data transformation solutions
and maintain scalable
cloud-native backend systems
developing independent microservices using Python
building secure and high-performance APIs
ensuring reliability in distributed environments
How You'll Work.
Team & Collaboration
collaborate closely with product, DevOps, and engineering teams; DevOps collaboration; collaborative problem solver
Communication Scope
Communication
Process & Methodology
Agile development workflows
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Manager **Job Description & Summary** At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _* 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](https://www.pwc.in/about-us.html)_ . 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 & Summa
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