IN_Senior Associate_Python Backend Developers_Data and Analytics_Advisory_Bangalore

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 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.

Job Description & Summary:

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.

Job Description & Summary:  

We are seeking a skilled Python Microservices Developer to design, build, and maintain scalable, cloud-native backend systems. The role involves developing independent microservices using Python, building secure and high-performance 

APIs, and ensuring reliability in distributed environments. You will collaborate closely with product, DevOps, and engineering teams to deliver resilient services that support business growth. 

Responsibilities: 

You will work on: 

5–8 years of experience in Python Backend Development. 

Strong proficiency in Python 3, including OOP, async programming, and clean code practices 

Building RESTful APIs using FastAPI, Flask, or Django REST Framework. 

Applying microservices architecture principles (service decomposition, stateless design, API gateways, event driven systems) 

Inter-service communication using REST, messaging queues, and event streaming 

Working with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) and ORMs 

Containerization and orchestration with Docker and Kubernetes 

Cloud-native development on AWS, Azure, or GCP 

Implementing security best practices (OAuth2, JWT, HTTPS, secrets management) 

Ensuring reliability with logging, monitoring, and distributed tracing 

Writing unit, integration, and API tests using PyTest and related tools 

CI/CD pipelines, Git-based workflows, and DevOps collaboration 

Understanding distributed systems concepts like scalability, fault tolerance, and eventual consistency 

Strong interest in growing own technical skills Ability to be an innovative, resourceful, and collaborative problem solver. 
 

Mandatory skill sets:

Primary Skills: 

Strong proficiency in Python 3 with experience building RESTful microservices using FastAPI, Flask, or Django 

REST Framework. 

Solid understanding of microservices architecture, distributed systems, and event-driven design. 

Hands-on experience with databases (PostgreSQL, MySQL, MongoDB, Redis) and messaging systems (Kafka, 

RabbitMQ). 

Skilled in Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. 

Knowledge of API security, authentication (JWT/OAuth2), and secure coding practices. 

Experienced in testing, CI/CD pipelines, monitoring, logging, and Agile development workflows. 

Preferred skill sets:

Strong proficiency in Python 3 with experience building RESTful microservices using FastAPI, Flask, or Django 

REST Framework. 

Solid understanding of microservices architecture, distributed systems, and event-driven design. 

Hands-on experience with databases (PostgreSQL, MySQL, MongoDB, Redis) and messaging systems (Kafka, 

RabbitMQ). 

Skilled in Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. 

Knowledge of API security, authentication (JWT/OAuth2), and secure coding practices. 

Experienced in testing, CI/CD pipelines, monitoring, logging, and Agile development workflows. 

Years of experience required:

Experience: 5 – 8 Years 

Education qualification:

• 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: Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP BW/4HANA

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 14, 2026