Data & Backend Engineer (Full Stack) Senior Associate
PwC Acceleration Center India
All India • 2 weeks ago
Experience: 4 to 8 Yrs
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Job Description
In your role at PwC, you will focus on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques, you will help clients optimize their operations and achieve strategic goals. Your main responsibilities will include utilizing advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making, and supporting clients in solving complex business problems through data manipulation, visualization, and statistical modeling.
- Respond effectively to diverse perspectives, needs, and feelings of others
- Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems
- Employ critical thinking to break down complex concepts
- Understand the broader objectives of your project or role and how your work fits into the overall strategy
- Develop a deeper understanding of the business context and how it is changing
- Interpret data to inform insights and recommendations
- Uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements
When you join PwC Acceleration Centers (ACs), you will actively support various services from Advisory to Assurance, Tax, and Business Services. Engage in challenging projects, provide distinctive services, and participate in dynamic training to grow your technical and professional skills. As part of the Data and Analytics team, you will design and develop scalable APIs and enterprise-grade data pipelines for AI-powered applications, analyze complex problems, mentor others, and collaborate with product owners and engineers to deliver integrated solutions.
**Responsibilities:**
- Design and develop scalable APIs and data pipelines for AI applications
- Collaborate with product owners and engineers for holistic solutions
- Analyze complex problems and implement practical strategies
- Mentor junior team members and support their development
- Maintain rigorous standards of quality in every deliverable
- Build and nurture client relationships through effectual communication
- Navigate complex project requirements to achieve successful outcomes
- Stay informed on innovative projects integrating data and UI layers
**Qualifications Required:**
- Bachelor's Degree
- 4 years of experience in backend engineering, data engineering, or distributed systems
- Oral and written proficiency in English required
In addition to the above qualifications, the following skills and experiences will set you apart:
- Bachelor's or Master's Degree in Computer Science
- Proven experience in backend and data engineering
- Skilled in Python, PySpark, and SQL programming
- Hands-on experience with RESTful and GraphQL APIs
- Familiarity with cloud platforms like Azure, AWS, or GCP
- Experience with Docker and Kubernetes for deployments
- Knowledge of data privacy and compliance standards
- Ability to develop front-end applications using ReactJS
- Experience with orchestration tools like Airflow or Prefect In your role at PwC, you will focus on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques, you will help clients optimize their operations and achieve strategic goals. Your main responsibilities will include utilizing advanced analytical techniques to extract insights from large datasets, driving data-driven decision-making, and supporting clients in solving complex business problems through data manipulation, visualization, and statistical modeling.
- Respond effectively to diverse perspectives, needs, and feelings of others
- Use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems
- Employ critical thinking to break down complex concepts
- Understand the broader objectives of your project or role and how your work fits into the overall strategy
- Develop a deeper understanding of the business context and how it is changing
- Interpret data to inform insights and recommendations
- Uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements
When you join PwC Acceleration Centers (ACs), you will actively support various services from Advisory to Assurance, Tax, and Business Services. Engage in challenging projects, provide distinctive services, and participate in dynamic training to grow your technical and professional skills. As part of the Data and Analytics team, you will design and develop scalable APIs and enterprise-grade data pipelines for AI-powered applications, analyze complex problems, mentor others, and collaborate with product owners and engineers to deliver integrated solutions.
**Responsibilities:**
- Design and develop scalable APIs and data pipelines for AI applications
- Collaborate with product owners and engineers for holistic solutions
- Analyze complex problems and implement practical strategies
- Mentor junior team members and support their development
- M
Skills Required
Data manipulation
Critical thinking
Interpreting data
RESTful APIs
AWS
GCP
Docker
Kubernetes
Data visualisation
Statistical modelling
API design
Data pipelines
Python programming
PySpark
SQL programming
GraphQL APIs
Cloud platforms Azure
Data privacy standards
Compliance standards
Frontend development ReactJS
Orchestration tools Airflow
Prefect
Posted on: April 12, 2026
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