Job Description

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.

Your Role

Develop and maintain scalable data pipelines using Python/Java/Scala/PySpark and Big Data tech (Hadoop, Spark, Scala).
Build, train, and optimize ML models using frameworks like PyTorch, TensorFlow, Keras, and XGBoost.
Design and manage real-time data workflows leveraging Kafka, SQL, and MongoDB.
Create dashboards and insights using Tableau or Power BI to support decision-making.
Utilize Cloud platforms (Azure/Databricks) to deploy and operationalize data and ML solutions.
Ensure the reliability, scalability, and performance of our data assets.
Design and maintain quality indicators as well as the corresponding monitoring and alerting means.
Troubleshoot and document issues respecting Amadeus standards.
Continuous improvement mindset applied to data related issues, systems, and processes.
Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization.

Your Profile

Analyze specifications, help to define user requirements for the development of software solutions.
Design and development.
Design technical solutions and perform feasibility studies.
Propose viable technical solutions.
Develop software according to Amadeus standards.
Data Engineering Activities
Acquire datasets that align with business needs.
Develop algorithms to transform data into useful, actionable information.
Design, develop, construct, test, and maintain optimal data pipeline architectures.
Create new data validation methods and data analysis tools.
Ensure compliance with data governance and security policies.
Identify ways to improve data reliability, efficiency, and quality.
Data Science activities
ML Model training.
ML Model calibration for different customers
KPI definition and measurements.
Data mining, data analysis
Research
Design new algorithms / models. Enhance the existing ones.
Industrialize and implement new prototypes.
Test and support
Conduct unit, package and performance tests and ensure a level of quality in line with the Amadeus guidelines.
Participate in the validation phase of the product cycle, fine-tuning when necessary to finalize the product.
Support the customer, perform investigation about the model result and behavior.
Familiarity with Azure cloud technologies.
Familiarity with Azure Databricks, Azure ML and Databricks SQL.
Familiarity with Snowflake Data Cloud will be a plus.

What Will You Love Working At Capgemini

You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Capgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and ‘Battery Energy Storage Solution’ (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.

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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.