Senior Data Scientist Engineer

Capgemini; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Wellness benefits

Telemedicine

Flexible work

Job summary

Capgemini in Bengaluru is seeking a data-focused professional to develop and implement Data Science and Data Analytics solutions using Python, PySpark, and SQL. You will build scalable ETL pipelines and work across Azure/AWS/GCP cloud data platforms to deliver business insights.

You will collaborate with engineering and business teams to implement CI/CD pipelines and optimize data processing performance, enabling reliable, scalable data solutions at scale.

Qualifications

• Strong hands-on experience in Python, PySpark, SQL, data science, and data analysis.
• Experience building and maintaining ETL/data integration pipelines.
• Knowledge of cloud data services (Azure, AWS, GCP) and CI/CD practices.

Responsibilities

• Develop and implement Data Science and Data Analytics solutions.
• Build and optimize scalable ETL and data processing pipelines for large datasets.
• Design and deploy data solutions using cloud services (Azure, AWS, GCP).
• Implement CI/CD pipelines and collaborate with engineering and business teams.

Skills

Python

PySpark

SQL

Data Science

Data Analysis

Tools

Azure

AWS

GCP

CI/CD

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Your RoleDevelop and implement Data Science and Data Analytics solutions using Python, PySpark, and SQL.Build and optimize scalable ETL and data processing pipelines for large datasets.Perform data analysis, transformation, feature engineering, and statistical analysis to generate business insights.Design and deploy data solutions using Azure/Microsoft Services, AWS, Azure, or GCP.Implement CI/CD pipelines and collaborate with engineering and business teams to deliver reliable data solutions.Your ProfileStrong hands-on experience in Python, PySpark, SQL, Data Science, and Data Analysis.Good experience in developing and maintaining ETL/data integration pipelines.Hands-on experience with Azure/Microsoft data services and cloud-based data solutions.Working knowledge of AWS, Azure, or Google Cloud (GCP) and cloud data platforms.Good understanding of CI/CD, data processing, performance optimization, and analytical problem-solving.What you will love about working hereYou can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible 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 is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com