Job 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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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.

Responsibilities

- Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
- Lead and manage a team of data engineers, providing technical guidance, mentorship,



and performance management.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Ensure data quality, integrity, and security across all data engineering projects.
- Implement best practices for data engineering, including code reviews, testing, and documentation.
- Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.

Position

Data Engineering / Senior Associate

Experience

5-8 Years

Location

Bangalore

Type

Full Time

Certifications

Spark 3.0(Mandatory) and/or Databricks Advanced/Qualified Architect.

About the Role

We are seeking an experienced and Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements. The ideal candidate will have a strong hands-on background in data engineering with specific expertise in Spark, PySpark, and Python. Additionally, experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering or AWS is highly desirable.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 IN Senior Associate_ Data Engineering__ Data & Analytics (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru