# IN_Senior Associate_ Aws Data Engineer_GCC_Advisory_Gurgaon at PwC

PwC is hiring an IN_Senior Associate_ Aws Data Engineer_GCC_Advisory_Gurgaon. Level rates it Works on AI ●●●○; you can [apply on PwC](https://jobsbylevel.com/go/a33de88c-17a1-4baf-a0f7-bbac89750060?utm_medium=ai-agent).

AI Level 3, AI centrality 63 out of 100. Gurugram Downtown 4.

## Details

- Company: [PwC](https://jobsbylevel.com/companies/pwc)
- AI level: AI Level 3 (score 63 out of 100)
- Location: Gurugram Downtown 4
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/a33de88c-17a1-4baf-a0f7-bbac89750060?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=in-senior-associate-aws-data-engineer-gcc-advisory-gurgaon-at-pwc-7d0e97

## Prepare for this job

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## Description

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *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 & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences. *Responsibilities: Position Overview: Data Engineer What You Will Do: Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems. Establish and promote best practices in modeling, experimentation, and analytical rigor. Convert real-world healthcare challenges into scalable data science solutions. Collaborate with global stakeholders to influence product and business strategy. Mentor and enhance the technical capabilities of the data science team. Keep up to date with the latest advances in ML and healthcare analytics. Who We Are Looking For: * Mandatory skill sets Conduct exploratory data analysis using visualizations to understand data patterns and structures. Perform statistical analysis and hypothesis testing to validate assumptions. Develop, deploy, evaluate, and fine-tune machine learning models for business challenges. Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms. Utilize advanced statistical and machine learning methods to derive actionable insights. Lead AI research projects focused on innovative data analysis techniques. Qualifications: 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions. Strong expertise with Azure Stack services and Snowflake. Proficient in SQL with deep knowledge of dimensional modeling. Experience creating interactive dashboards using Power BI or Tableau. Familiarity with advanced statistical analysis, machine learning, and predictive modeling. Programming proficiency in R or Python preferred. Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences. Experience with

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