IN-Manager_Databricks Engineer _GCC_ Advisory_Bangalore

Advisory

Not Applicable

Data, Analytics & AI

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.

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 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…. 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 in Databricks 

• Strong coding skills in Python, PySpark, and SQL 

• Experience building ETL/ELT pipelines 

• Hands-on experience with Delta Lake 

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

• Knowledge of Structured Streaming 

• Good understanding of Lakehouse architecture 

• Experience on AWS / Azure  

• Strong experience in Spark performance tuning / optimization 

• Good communication skills 

 

 

Mandatory skill sets: 

 

• Strong coding skills in Python, PySpark, and SQL 

• Experience on AWS / Azure  

 

Preferred skill sets: 

 

• Experience with Photon 

• Exposure to Databricks SQL 

• Exposure to MLflow / Databricks ML 

• Experience with CI/CD, Git 

• Knowledge of Airflow / ADF / other orchestration tools 

• Databricks certification is a plus 

• Domain experience in healthcare is preferred 

Years of experience required: 

 

7-12 

Education qualification: 

 

B.Tech / M.Tech / MBA / MCA 

 

 

PySpark

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}

Not Specified

No

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March 27, 2026