IN_Senior Associate_ Data Engineer _D&A_Advisory _PAN India

PwC · Bengaluru Millenia

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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:

Databricks JD We are seeking a skilled Data Engineer with expertise in Databricks, Python, and PySpark to design, build, and optimize data pipelines and workflow orchestration across our infrastructure. Key Responsibilities: · Develop and maintain ETL/ELT pipelines using Databricks. · Write efficient PySpark & Python scripts for large-scale data processing. · Implement data models, transformations, and CI/CD pipelines for automation. · Requirements: · 3+ years in Data Engineering with Databricks. · Strong skills in Python, PySpark orchestration. · Experience with CI/CD, Git, Docker, and Kubernetes. Nice to Have: · Knowledge of Delta Lake and Databricks ecosystem tools. · Azure cloud data engineering tools

Mandatory skill sets:

Databricks/Pyspark

Preferred skill sets:

Databricks/Pyspark

Years of experience

required:

4—8 Years

Education qualification:

B.E.(B.Tech)/M.E/M.Tech

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Snowflake (Platform)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 12, 2026

Data & ML pay context

Based on 1,369 disclosed Data & ML salaries on RoleSuite, the role pays a median of $163K/year, with most offers between $127K and $210K (10th–90th percentile: $108K–$248K).

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IN_Senior Associate_ Data Engineer _D&A_Advisory _PAN India

Data & ML pay context

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