PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Associate - Generative AI and Data Analytics

PriceWaterhouseCoopers Pvt Ltd ( PWC )
Noida
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

IN_Senior Associate_SSIS Engineer_Data and Analytics_Advisory_Noida

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.

Responsibilities:

Data Engineering & Development Develop and optimize SQL queries, stored procedures, and ETL pipelines. Build robust data warehouse structures and maintain/create high-quality ETL workflows using SSIS and Snaplogic. Implement data quality, validation, and auditing frameworks. Data Modeling Design conceptual, logical, and physical models optimized for analytics, AI consumption, and enterprise data platforms. Implement best practices in dimensional modeling (Star/Snowflake schema). Align data structures with business needs and AI-driven workflows. Required Skills & Experience Strong hands-on expertise with SQL Server, SSIS, and Data Warehousing concepts. Proven experience designing ETL/ELT solutions and optimizing large-scale datasets. Solid understanding of data modeling techniques and semantic layer design. Experience with cloud data tools and services (Azure, AWS, GCP etc.) is good to have. Experience with AI/ML is good to have Comfort with version control, CICD, and modern engineering practices. Preferred Qualifications Exposure to SSAS Understanding of data security, compliance, and governance frameworks. Exposure on cloud migration projects

Mandatory skill sets: •

SSIS, Sql, ETL, Data modelling

Preferred skill sets: •

Exposure to AI, Cloud engineering

Years of experience required:

6-10 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, Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, 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, Data Modeling, Data Pipeline {+ 38 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

April 30, 2026

Experience Level

Senior Level

Job role

Work location
Work locationNoida, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NamePriceWaterhouseCoopers Pvt Ltd ( PWC )
Job posted by PriceWaterhouseCoopers Pvt Ltd ( PWC )

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