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Capgemini
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Data Science Architect

Data Science Architect

Capgemini

6 - 9 years

13 - 18 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

data science s3 data preprocessing python github data analysis ai databricks machine learning sql spark gcp predictive modeling jenkins statistical modeling hadoop bigquery big data aws etl architecture azure

Work Mode

Work from Office

Job Type

Full Time

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 Role

Solution ArchitectureDesign and implement data science architectures that support advanced analytics, AI/ML models, and business intelligence.

Data Engineering & ETLDevelop robust ETL pipelines using PySpark, Python, and modern frameworks to process large-scale datasets.

Cloud IntegrationArchitect and deploy solutions on AWS, Azure, or Google Cloud leveraging services like Azure Data Factory, Databricks, S3, BigQuery, etc.

Data Analysis & ModelingCollaborate with data scientists to ensure infrastructure supports predictive modeling, statistical analysis, and machine learning workflows.

CI/CD & AutomationImplement CI/CD pipelines for data workflows and ML model deployment.

Team LeadershipLead and mentor a team of data engineers and data scientists, ensuring best practices in coding, architecture, and project delivery.

Performance OptimizationEnsure high availability, scalability, and performance of data platforms.

Stakeholder CollaborationWork closely with business and technical teams to translate requirements into data-driven solutions.

Your Profile

ProgrammingPython, PySpark, SQL

Data Science & AnalyticsStrong understanding of ML workflows, data preprocessing, and statistical modeling.

Cloud PlatformsAWS, Azure, GCP (expertise in at least one)

ETL ToolsAzure Data Factory, AWS Glue, or equivalent

CI/CDJenkins, GitHub Actions, or similar

Big Data TechnologiesSpark, Hadoop ecosystem

ArchitectureExperience designing scalable data platforms and solutions

LeadershipProven ability to lead cross-functional teams and deliver complex projects

What you'll love about working here

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 .

Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events , yoga challenges, or marathons.

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.

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Data Science Architect