IN-Senior Associate_ Data Engineering__ Data & Analytics _ Advisory _Mumbai

PwC India; Goregaon; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

PwC India is seeking a Senior Associate in Data, Analytics & AI to lead data engineering engagements with 5–8 years of hands-on experience in Spark, PySpark and Python. You will design scalable data pipelines, mentor engineers, and collaborate with cross-functional teams across cloud platforms like Databricks, AWS, and Azure Data Engineering.

Strong communication skills, data governance, and the ability to translate business needs into robust technical solutions are essential for delivering

Qualifications

• 5–8 years of experience in data services, data architecture, and data platforms.
• Strong hands-on background in data engineering with Spark, PySpark, and Python.
• Experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering, or AWS.
• Proven track record designing scalable data pipelines and architectures.
• Leadership and team management skills.
• Strong communication and collaboration across teams.

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 and mentorship.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across projects.
• Implement best practices for data engineering, including reviews, testing, and documentation.
• Stay updated with industry trends in data engineering and cloud computing.
• Work with stakeholders to translate business needs into technical requirements.
• Manage project timelines, resources, and budgets for data engineering initiatives.

Skills

PySpark

Spark

Python

Cloud platforms

Leadership

Education

B.Tech / M.Tech / MCA / MBA

Tools

Databricks

AWS

Azure Data Engineering

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.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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.

Job Description 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.

• 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.

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 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.

Job Description 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.

Required Skills Proven track record of designing and building scalable data pipelines and architectures.

Required Skills Hands‑on experience with data processing and transformation.

Required Skills Strong understanding of data warehousing concepts and ETL processes.

Required Skills Excellent problem‑solving skills and the ability to troubleshoot complex technical issues.

Required Skills Strong leadership and team management skills.

Required Skills Effective communication skills, both written and verbal.

Preferred Qualifications Experience with cloud‑native data engineering on platforms such as Databricks and Azure/AWS.

Preferred Qualifications Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR).

Preferred Qualifications Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Preferred Qualifications Experience with data visualization tools and techniques.

Preferred Qualifications Familiarity with machine learning and data science concepts.

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.

preferred skill sets Industry certifications related to data engineering or cloud platforms are a plus.

Years of experience required 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 Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills PySpark

Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 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 August 19, 2026