Data Engineer – Databricks & PySpark

Data Engineer – Databricks & PySpark

Location : Bangalore

Experience : 6–9 years

Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping leading Consumer Products and Retail Services (CPRS) organizations unlock the value of technology and drive scalable, sustainable growth.

Your Role

As a Data Engineer, you will play a key role in designing and implementing scalable data solutions using Databricks, PySpark, and other modern data technologies. You’ll collaborate with cross-functional teams to deliver high-performance data pipelines and contribute to the success of data-driven initiatives.

In this role, you will :

• Develop and optimize data pipelines using Databricks, PySpark, and Python.
• Write efficient and scalable SQL queries for data extraction and transformation.
• Collaborate with data architects and analysts to understand business requirements.
• Integrate data workflows with Azure Data Factory (ADF) (preferred).
• Work on Big Data / Hadoop platforms (preferred).
• Ensure data quality, performance, and reliability across all solutions.
• Participate in code reviews, testing, and deployment processes.

Your Profile

What You’ll Love About Working Here

About Us

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.