Senior Associate - Data Engineering

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Bengaluru; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

PriceWaterhouseCoopers Pvt Ltd (PWC) is looking for an experienced Senior Associate specializing in data services and engineering in Bengaluru, India. You will lead data engineering projects by designing scalable data pipelines and collaborating with cross-functional teams to optimize operations.

The ideal candidate should have 5-8 years of relevant experience and strong skills in Spark, PySpark, and Python. Knowledge of cloud platforms like AWS and Databricks is preferred. PWC offers a supportive environment that values equal employment opportunities.

Qualifications

• 5-8 years of experience in data services, data architecture, and data platforms.
• Strong hands-on background in data engineering.
• Hands-on experience with data processing and transformation.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures.
• Lead and manage a team of data engineers.
• Collaborate with cross-functional teams to understand data requirements.

Skills

Spark

PySpark

Python

Data engineering

Cloud computing

Data warehousing

Leadership

Problem-solving

Communication

Tools

Databricks

Azure

Amazon Web Services (AWS)

BigQuery

Redshift

Docker

Kubernetes

Job description

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

About the Role

We are seeking an experienced 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 Amazon Web Services (AWS) is highly desirable.

Key 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.
• Work closely with stakeholders to understand business needs and translate them into technical requirements.
• Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.

Required Skills

• Proven track record of designing and building scalable data pipelines and architectures.
• Hands‑on experience with data processing and transformation.
• Strong understanding of data warehousing concepts and ETL processes.
• Excellent problem‑solving skills and the ability to troubleshoot complex technical issues.
• Strong leadership and team management skills.
• Effective communication skills, both written and verbal.

Preferred Qualifications

• Experience with cloud‑native data engineering on platforms such as Databricks and Azure/AWS.
• Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR).
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with data visualization tools and techniques.
• Familiarity with machine learning and data science concepts.
• Industry certifications related to data engineering or cloud platforms are a plus.

Mandatory Skill Sets

• Strong experience with data engineering technologies, particularly Spark, PySpark, and Python.
• Preferred skill sets: Proven experience in data engineering or related roles.

Equal Employment Opportunity

At 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.

Job Posting End Date: June 17, 2026. Experience Level: Senior Level.