Level

PwC

IN_Manager_ Snowflake Senior Data Engineer_GCC_Advisory_Gurgaon

PwC is hiring an IN_Manager_ Snowflake Senior Data Engineer_GCC_Advisory_Gurgaon. Level rates it ; you can apply on PwC.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • The posting mentions Databricks, Snowflake and SQL among its tools and skills.
  • Level classes it as a senior role.
  • PwC has 3,900+ other open roles on Level.

AI in this role

Design and build robust data solutions, pipelines, and infrastructure using Snowflake for enterprise clients.

databrickssnowflakesqlpython
data-engineeringetldata-warehousing

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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*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 organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order 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: 

 

  • Excellent technical know-how and hands on experience in SAP BW4HANA, Hana View & ABAP. 
  • End to end development experience in SAP BW4HANA Modelling using ADSOs, Composite Providers, Open ODS views, Transformations, BEX Queries and Native HANA & exposing BW models as HANA views, mixed scenarios, HANA Analysis process. 
  • Aware about LSA ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc 
  • Experience in Bex Query Designer, Customer Exits Variables, Roles & Authorization 
  • Strong SQL Experience and AMDP Scripts, Start/End/Exit/Expert/Field Routines), Function Module and BADIs, good in debugging ABAP Code. 
  • Functional knowledge of SAP modules (SD, MM, Inventory, FICO, PM  etc.). 
  • Performed ABAP development for data extraction, custom logic, enhancements, and performance optimization. 
  • Lead or contribute to BW to SAP Datasphere migration/conversion initiatives, including 

Object assessment, Data model redesign using Datasphere best practices, Validation and reconciliation of migrated data. 

  • Optimize data models for performance, scalability, and future extensibility. 
  • Collaborate with business stakeholders, architects, and analytics teams to understand reporting and data requirements. 
  • Support integration with SAP Analytics Cloud (SAC) and other reporting/BI tools. 
  • Provide production support, troubleshooting, and performance tuning 
  • Ensure compliance with SAP standards, security, and data governance guidelines 
  • Experience in mapping business requirements to the technical architecture design and data mode. 
  • Experience/Knowledge SAP Datasphere, Reporting tool like (SAP Analytics Cloud, Business Objects etc.) will be plus.  

 

 

Ways to Stand Out From the Crowd:- 

  • Strong analytical and problem-solving skills. 
  • Strong written and oral interpersonal skills, interaction with multinational clients. 
  • Analyse and recommend improvements to current deployed system 
  • Ability to design and provide solutions to applications in all stages of the SDLC. 
  • Ability to communicate complex technical constructs to business and non-technical users. 
  • Advanced knowledge of distributed, heterogeneous scalable systems design. 
  • Ability to work under tight and strict timelines. 
  • Able to drive workshops with the business to gather requirements and translate those to SAP Enterprise solutions. 

 

Mandatory skill sets: 

 

‘Must have’ knowledge, skills and experiences  

  • SAP BW4HANA, BWonHana expertise (Modelling, Extraction, Reporting) 
  • Data Modelling (ADSOs, Composite Providers, Open ODS, BEx Queries) 
  • SAP & non-SAP extraction, LSA++ methodology 
  • ABAP & SQL (AMDP, BADIs, debugging) 
  • SAP module knowledge (SD, MM, Inventory, FICO, PS, PM, HR etc.) 
  • Troubleshooting & system architecture 
  • BW4HANA to Datasphere migration project. 

 

Preferred skill sets: 

 

‘Good to have’ knowledge, skills and experiences  

Reporting tools (SAP Analytics Cloud, Business Objects) 

SAP Datasphere & BW4HANA Certification (plus) 

Problem-solving & system optimization 

Strong communication & client interaction 

Project management & business collaboration 

Years of experience required: 

 

5-9 years relevant experience 

Education qualification: 

 

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) 

 

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

Degrees/Field of Study required: Master of Engineering, MBA (Master of Business Administration), Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Full Stack Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {+ 30 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

May 22, 2026

How we rate this

IN_Manager_ Snowflake Senior Data Engineer_GCC_Advisory_Gurgaon at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData WarehousingDatabricksSnowflakeSQLPython

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data warehousing was part of your work. What did you do?
  4. What's a project where you used Databricks hands-on?
  5. Walk me through how you've used Snowflake in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, ETL, Data Warehousing, Databricks, and Snowflake. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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