Capgemini

AI Data Engineer | 5 to 8 years | PAN India

Posted On

April 3, 2025

Location

Gurgaon, Haryana

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

May 14, 2025

Job Description

Capgemini Invent

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses.

Your Role

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering, with a focus on building data pipelines and preprocessing data.
Strong proficiency in programming languages such as Python, Java, or Scala.
Hands-on experience with data processing frameworks and tools like Apache Spark, Hadoop, or similar.
Proficiency in SQL and experience with relational and NoSQL databases.
Experience with data visualization and EDA tools such as Pandas, Matplotlib, or Tableau.
Familiarity with ML and AI concepts, particularly in relation to data preparation and pipelines.
Experience with text, image, audio, and video data management, including labeling and cleansing.
Exposure to EdgeAI applications and their unique data processing requirements (preferred).
Strong problem-solving skills and the ability to work independently and collaboratively.

Your Profile

Design, develop, and maintain scalable data pipelines to support ML models.
Perform data preprocessing, cleansing, and labeling to ensure high-quality data inputs for ML applications.
Conduct exploratory data analysis (EDA) to gather insights and identify data patterns.
Collaborate with data scientists and ML engineers to align data pipeline requirements with model development needs.
Create and manage datasets comprising text, image, audio, and video data for various ML applications.
Implement best practices for data management, ensuring data integrity, consistency, and security.
Optimize data workflows and processing pipelines for efficiency and performance.
Utilize cloud-based data storage and processing solutions as needed.
Stay current with industry trends and technologies to continuously improve data engineering processes.
Provide technical support and guidance to junior data engineers and other team members.

What you will love about working here

We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Equip yourself with valuable certifications in the latest technologies such as Generative AI.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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