Senior Associate - Artificial Intelligence and Machine Learning Engineer

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Mumbai Suburban; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

PwC is seeking a Senior Associate in Data Engineering for the Mumbai Advisory line of service. The role focuses on designing scalable data pipelines and architectures using Spark, PySpark, and Python, with exposure to cloud platforms like Databricks, Azure, and AWS.

You will lead a small team and collaborate across functions to deliver robust data solutions. The candidate should have 5-8 years of experience in data services and be proficient in data quality, ETL concepts, and modern data

Qualifications

• 5-8 years of experience in data services, data architecture and data platforms.
• Strong hands-on background in Spark, PySpark and Python.
• Cloud-native data engineering on platforms such as Databricks, Azure or AWS.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Spark, PySpark, and Python.
• Lead and mentor a team of data engineers and provide technical guidance.
• Collaborate with cross-functional teams to translate business needs into data solutions.

Skills

Spark

PySpark

Python

Data pipelines

Data architectures

Leadership

Data quality

Education

B.Tech / M.Tech / MCA / MBA

Tools

Databricks

Azure

AWS

BigQuery

Redshift

S3

EMR

Docker

Kubernetes

Job description

IN_Senior Associate_ Data Engineering_GCC_ Advisory _Mumbai Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & 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.

*Why PWC At 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 us . 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 Description & Summary

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

Position : Data Engineering / Senior Associate

Experience : 5- 8 Years

Location : Mumbai

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 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.

Mandatory skill sets

• Strong experience with data engineering technologies, particularly Spark, PySpark, and Python.
• Additional skill sets preferred: Proven experience in data engineering or related roles.
• Industry certifications related to data engineering or cloud platforms are a plus.

Additional Details

Years of experience required: Experience : 5 - 8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity {+ 28 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

February 27, 2026 Experience Level Senior Level