Senior Data Engineer - Data & Analytics

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PriceWaterhouseCoopers Pvt Ltd ( PWC ) in Hyderabad seeks a Senior Associate Data Engineer to drive data analytics initiatives within Advisory. You will lead ML model development, build scalable data pipelines, and collaborate with global stakeholders to influence strategic decisions. Strong SQL, Python/R, and visualization skills are essential.

The role emphasizes advanced analytics, dimensional modeling, and experience with Power BI/Tableau to create actionable insights for healthcare clients.

Qualifications

• 4+ years of hands-on experience delivering data analytics, data engineering, and ML solutions.
• Strong expertise with Azure Stack services and Snowflake.
• Proficient in SQL with dimensional modeling knowledge.
• Experience creating dashboards with Power BI or Tableau.
• Python or R programming preferred; strong communication skills.

Responsibilities

• Lead development of advanced ML and statistical models for healthcare problems.
• Promote best practices in modeling, experimentation, and analytical rigor.
• Transform real-world healthcare challenges into scalable data science solutions.
• Collaborate with global stakeholders to influence product and business strategy.
• Mentor and enhance the data science team.
• Stay updated with latest ML advancements in healthcare analytics.

Skills

Exploratory data analysis

Statistical analysis

Machine learning

Data pipelines

Snowflake

Power BI

SQL

Dimensional modeling

Python

R

Azure

Tableau

Education

Bachelor of Engineering (B.E.)

Tools

Snowflake

Azure Stack

Power BI

Tableau

SQL

Job description

IN_Senior Associate_Data Engineer_Data and Analytics_Advisory_Hyderabad 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 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

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.

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 AI Automation projects, including Generative AI or Agentic AI, is a plus.

Preferred skill sets

Python, Machine learning , Deep learning Years of experience required : 5 + years Education qualification: B.E Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Engineering 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 Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date September 7, 2026 Experience Level Senior Level