IN-Manager_Databricks Engineer _GCC_ Advisory_Bangalore

PwC; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

PwC is seeking a Data & Analytics Engineer Manager to design and build robust data infrastructure for clients. You will lead data pipelines, integration, and transformation projects, applying cutting-edge technologies to turn raw data into actionable insights that drive business outcomes.

The role emphasizes hands-on Databricks work, Spark optimization, and cloud experience (AWS/Azure). You will collaborate with multidisciplinary teams, mentor juniors, and contribute to scalable data solutions

Qualifications

• 7–12 years of experience in data engineering.
• Strong coding in Python, PySpark, and SQL.
• Hands-on Databricks experience with AWS/Azure.
• Bachelor/Master level qualifications in engineering or related field.

Responsibilities

• Hands-on Databricks experience.
• Develop and maintain data pipelines (ETL/ELT).
• Optimize Spark performance and data lake architecture.
• Collaborate with cross-functional teams and clients.

Skills

Python

PySpark

SQL

Delta Lake

Spark

Education

B.Tech / M.Tech / MBA / MCA

Tools

Databricks

AWS

Azure

Delta Live Tables

Databricks SQL

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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 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.

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... A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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

• Strong hands-on experience inDatabricks

• Strong coding skills inPython, PySpark, and SQL

• Experience buildingETL/ELT pipelines

• Hands-on experience withDelta Lake

• Experience withUnity Catalog, Delta Live Tables (DLT) ,Auto Loader, Databricks Workflows / Lakeflow

• Knowledge ofStructured Streaming

• Good understanding ofLakehouse architecture

• Experience onAWS / Azure

• Strong experience inSpark performance tuning / optimization

• Good communication skills

Mandatory skill sets

• Strong coding skills inPython, PySpark, and SQL

• Experience onAWS / Azure

Preferred skill sets

• Experience withPhoton

• Exposure toDatabricks SQL

• Exposure toMLflow / Databricks ML

• Experience withCI/CD, Git

• Knowledge ofAirflow / ADF / other orchestration tools

• Databricks certification is a plus

• Domain experience inhealthcareis preferred

Years of experience required

7-12

Education qualification

B.Tech / M.Tech / MBA / MCA

Education

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

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

Education

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

PySpark

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, Coaching and Feedback, 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 {+ 35 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

March 27, 2026