Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

& 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 PWCAt 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 usAt 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. "

& Summary:

We are seeking a skilled Python Microservices Developerto design, build, and maintain scalable, cloud-native backendsystems. 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, andengineering teams to deliver resilient services that support business growth.

Responsibilities:

You will work on:

• 5–8years of experience inPython Backend Development

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

• Building RESTful APIs using FastAPI, Flask, or DjangoREST Framework

• Applying microservices architecture principles(service decomposition, stateless design, API gateways, event drivensystems)

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

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

• Containerization and orchestrationwith 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 testsusingPyTestand related tools

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

• Understanding distributed systems conceptslike scalability, fault tolerance, and eventual consistency

• Strong interest in growing own technical skills

• Ability to be an innovative, resourceful, and collaborative problem solver
  
  Primary Skills:

• Strong proficiency in Python 3 with experience building RESTful microservices usingFastAPI, 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.

Mandatory skill sets:

Snowflake SnowPro Core certification

Preferred skill sets:

Analytical mindset with strong problem-solving ability

Years of experience required:

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: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Structured Query Language (SQL)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 {+ 32 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 18, 2026