IN Senior Associate_ Data Engineering_ Data & Analytics

PwC Service Delivery Center; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC Service Delivery Center is seeking an experienced Data Engineering / Senior Associate in Bangalore. The role focuses on designing and delivering scalable data pipelines using Spark, PySpark, and Python, with cloud experience on Databricks, Azure or AWS.

You will lead a data engineering team and collaborate with cross-functional partners to meet data requirements. The ideal candidate has 5-8 years in data services and data platforms, strong hands-on capabilities, and a passion for maintaining

Qualifications

• 5-8 years of data engineering experience with hands-on expertise in Spark, PySpark and Python.
• Strong background in data services, data architecture and data platforms.
• Experience with cloud-native data platforms like Databricks, Azure Data Engineering or AWS.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
• Lead and manage a team of data engineers with mentorship and performance guidance.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and security across projects.
• Implement best practices for data engineering, including code reviews, testing, and documentation.
• Stay up-to-date with industry trends in data engineering and cloud computing.

Skills

Spark

PySpark

Python

Databricks

Azure Data Engineering

AWS

Education

Spark 3.0 Certification

Databricks Advanced/Professional Architect

Job description

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/Professional 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.