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Location
In office (Noida)
Seniority
Senior · 1+ year exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 12, 2026. PwC scores C on the Alion truth index.

Overview
Company
Impact
Profile match

PwC

Headquartered in London, United Kingdom, PwC (PricewaterhouseCoopers) is a multinational professional services network and one of the "Big Four" accounting firms. The network provides a broad suite of business solutions, including financial auditing and assurance, tax advisory and compliance, corporate strategy, risk management, and digital transformation consulting. Operating across more than 150 countries, it delivers data analytics, deal advisory, and regulatory compliance services to global corporations, financial institutions, public sector organizations, and mid-market enterprises worldwide.

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*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: Data Engineer

Responsibilities:

  • Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data from various sources into cloud-based data warehouses
  • Write and optimize complex SQL queries to support data analysis requirements and ensure efficient data retrieval for business intelligence applications
  • Collaborate with senior data engineers to design and implement scalable data architecture solutions using Databricks platform for big data processing
  • Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes to ensure data quality and reliability across cloud environments
  • Assist in building automated ETL processes that integrate data from multiple sources including APIs, databases, and file systems
  • Support data modeling activities by creating and maintaining dimensional models and data marts to facilitate analytical reporting
  • Participate in code reviews and follow best practices for version control, testing, and documentation of data engineering solutions
  • Contribute to cloud infrastructure management tasks including resource optimization and cost monitoring for data processing workloads

Preferred skill sets: SQL,Python,Pyspark,Databricks,Cloud

Mandatory skill sets:

  • SQL,Python,Pyspark,Databricks,Cloud

Years of experience required: 1-4 years

Education qualification: BE/B.Tech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 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

September 18, 2026
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