IN_Manager_Databricks Data Engineer_GCC_Advisory_Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Price Waterhouse Cooper LLP in India seeks an experienced Data Engineer - Databricks to design, build, and operate scalable data pipelines on the Databricks Lakehouse Platform. The role involves hands-on development with PySpark, Spark SQL, Delta Lake, and cloud-native services, collaborating with analytics, AI/ML, and business teams.

You will mentor junior engineers, ensure data quality and governance, and contribute to robust data solutions that enable scalable analytics and automation across

Qualifications

• 6+ years of experience as a Data Engineer with strong Databricks expertise.
• Hands-on experience with Apache Spark, PySpark, and Spark SQL.
• Strong knowledge of Delta Lake and Lakehouse architecture.
• Advanced SQL skills
• Experience with ETL/ELT patterns and data warehousing concepts
• Exposure to at least one cloud platform (Azure / AWS / GCP)
• Understanding of distributed computing concepts
• Experience working in Agile teams

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (PySpark / Spark SQL)
• Implement batch and incremental data processing using Delta Lake and multi-hop architecture
• Develop and optimize Databricks notebooks, jobs, and workflows
• Ingest, transform, and curate large-scale structured and semi-structured datasets
• Support analytics, reporting, and downstream data consumption use cases
• Ensure data quality, reliability, lineage, and governance
• Collaborate with data scientists, analysts, and architects on AI/ML workloads
• Optimize Spark jobs for performance and cost efficiency
• Adhere to enterprise security, access control, and compliance standards
• Provide production support and troubleshoot data pipeline issues
• Document technical designs, data flows, and operational runbooks
• Mentor junior engineers and contribute to best practices

Skills

Databricks

Apache Spark

PySpark

Spark SQL

Delta Lake

SQL

ETL/ELT

Cloud platforms

Agile

Python

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Unity Catalog

Auto Loader

CI/CD

Job description

Job Description

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Manager

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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more

About us

AtPwC, 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

We are seeking an experienced Data Engineer - Databricks to design, build, and operate scalable, high-performance data pipelines on the Databricks Lakehouse Platform. The role involves hands on development using Apache Spark, Databricks notebooks, Delta Lake, and cloud-native services, along with close collaboration with analytics, AI/ML, and business teams

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (PySpark / Spark SQL)
• Implement batch and incremental data processing using Delta Lake and multi-hop architecture
• Develop and optimize Databricks notebooks, jobs, and workflows
• Ingest, transform, and curate large-scale structured and semi-structured datasets
• Support analytics, reporting, and downstream data consumption use cases
• Ensure data quality, reliability, lineage, and governance
• Collaborate with data scientists, analysts, and architects on AI/ML workloads
• Optimize Spark jobs for performance and cost efficiency
• Adhere to enterprise security, access control, and compliance standards
• Provide production support and troubleshoot data pipeline issues
• Document technical designs, data flows, and operational runbooks
• Mentor junior engineers and contribute to best practices

Mandatory skill sets

6+ years of experience as a Data Engineer with strong Databricks expertise

Hands-on experience with Apache Spark, PySpark, and Spark SQL

Strong knowledge of Delta Lake and Lakehouse architecture

Advanced SQL skills

Experience with ETL/ELT patterns and data warehousing concepts

Exposure to at least one cloud platform (Azure / AWS / GCP)

Understanding of distributed computing concepts

Experience working in Agile teams

Preferred skill sets

Experience with Unity Catalog and data governance

Exposure to Auto Loader or streaming frameworks

CI/CD for data pipelines

Python for data engineering and automation

Databricks certification (Associate / Professional)

Years of experience required

6-10 years

Education qualification

Bachelor's or Master's degree in Computer Science, Engineering, or related field (60% above)

Education

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

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date

May 17, 2026