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Data Scientist

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 10 days ago

No clicks

**Data Scientist** at Capgemini Engineering designs modern data ecosystems, driving advanced analytics and real-time decision-making. Responsibilities include designing secure, scalable data platforms; building data pipelines and lakes; and implementing real-time data ingestion.Proven expertise in AWS services, data modeling, and big data ecosystems required. Ideal candidate has 6-9 years of experience and a passion for collaborative innovation in data-driven transformation. Join Capgemini's global team, making a difference in various industries.

Compensation
Not specified

Currency: Not specified

City
Chennai
Country
India

Full 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 worlds 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.

Job Description

Data Architect / Data Scientist

Location :- Chennai
Experience :- 69 Years

Choosing Capgemini means choosing a place where youll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine whats possible. Join us in designing next-generation data platforms that enable advanced analytics, machine learning, and real-time decision-making for global enterprises.

Your Role

As a Data Architect / Data Scientist, you will be responsible for designing scalable, secure, and high-performance data platforms. You will work closely with engineering teams and business stakeholders to build modern data ecosystems that support analytics, AI/ML initiatives, and real-time data processing.

In this role, you will:

  • Design end-to-end data architectures across cloud and hybrid environments.
  • Build scalable data pipelines, data lakes, and modern data platforms.
  • Architect ingestion frameworks for IoT and sensor data, particularly for Digital Twin platforms.
  • Develop and optimize data models for structured, semi-structured, and unstructured data.
  • Implement real-time data ingestion using streaming and messaging frameworks.
  • Collaborate with cross-functional teams to align data strategies with business goals.
  • Define and enforce data governance, security, quality, and compliance standards.

Your Profile

  • 69 years of progressive experience in data engineering and data architecture.
  • Strong experience designing scalable and secure data platforms.
  • Hands-on expertise with AWS data services and modern data platforms.

Core Skills & Expertise

  • Cloud Expertise: AWS (Kinesis, EMR, Glue, RDS, Athena, Redshift, Lambda, S3)
  • Data Platform Design: Snowflake, scalable data pipelines, data lake architectures
  • Digital Twin Integration: IoT data ingestion, sensor data modeling, real-time systems
  • Data Modeling: Conceptual, logical, and physical modeling across data types
  • Programming & Querying: Python, PySpark, Advanced SQL
  • Big Data Ecosystem: Hadoop, Spark, Kafka
  • Database Management: SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, Cassandra
  • Data Governance & Quality: Lineage, metadata management, quality frameworks
  • DevOps & CI/CD: Deployment automation and pipeline management for data platforms
  • Streaming & Queuing: Real-time ingestion architectures
  • Time Series Data: Design for ingestion, storage, and analysis of time-based data

What Youll Love About Working Here

  • Opportunity to work on cutting-edge data platforms and AI-driven solutions.
  • Collaborative and innovative work culture.
  • Continuous learning opportunities in cloud and data technologies.

About Us

Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and data transformation journeys. With strong expertise in cloud, data, AI, and engineering, Capgemini delivers end-to-end services that empower enterprises to innovate and scale efficiently.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds 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.

Data Scientist

Compensation

Not specified

City: Chennai

Country: India

Capgemini logo
Consultancies

10 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Data Scientist** at Capgemini Engineering designs modern data ecosystems, driving advanced analytics and real-time decision-making. Responsibilities include designing secure, scalable data platforms; building data pipelines and lakes; and implementing real-time data ingestion.Proven expertise in AWS services, data modeling, and big data ecosystems required. Ideal candidate has 6-9 years of experience and a passion for collaborative innovation in data-driven transformation. Join Capgemini's global team, making a difference in various industries.

Full 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 worlds 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.

Job Description

Data Architect / Data Scientist

Location :- Chennai
Experience :- 69 Years

Choosing Capgemini means choosing a place where youll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine whats possible. Join us in designing next-generation data platforms that enable advanced analytics, machine learning, and real-time decision-making for global enterprises.

Your Role

As a Data Architect / Data Scientist, you will be responsible for designing scalable, secure, and high-performance data platforms. You will work closely with engineering teams and business stakeholders to build modern data ecosystems that support analytics, AI/ML initiatives, and real-time data processing.

In this role, you will:

  • Design end-to-end data architectures across cloud and hybrid environments.
  • Build scalable data pipelines, data lakes, and modern data platforms.
  • Architect ingestion frameworks for IoT and sensor data, particularly for Digital Twin platforms.
  • Develop and optimize data models for structured, semi-structured, and unstructured data.
  • Implement real-time data ingestion using streaming and messaging frameworks.
  • Collaborate with cross-functional teams to align data strategies with business goals.
  • Define and enforce data governance, security, quality, and compliance standards.

Your Profile

  • 69 years of progressive experience in data engineering and data architecture.
  • Strong experience designing scalable and secure data platforms.
  • Hands-on expertise with AWS data services and modern data platforms.

Core Skills & Expertise

  • Cloud Expertise: AWS (Kinesis, EMR, Glue, RDS, Athena, Redshift, Lambda, S3)
  • Data Platform Design: Snowflake, scalable data pipelines, data lake architectures
  • Digital Twin Integration: IoT data ingestion, sensor data modeling, real-time systems
  • Data Modeling: Conceptual, logical, and physical modeling across data types
  • Programming & Querying: Python, PySpark, Advanced SQL
  • Big Data Ecosystem: Hadoop, Spark, Kafka
  • Database Management: SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, Cassandra
  • Data Governance & Quality: Lineage, metadata management, quality frameworks
  • DevOps & CI/CD: Deployment automation and pipeline management for data platforms
  • Streaming & Queuing: Real-time ingestion architectures
  • Time Series Data: Design for ingestion, storage, and analysis of time-based data

What Youll Love About Working Here

  • Opportunity to work on cutting-edge data platforms and AI-driven solutions.
  • Collaborative and innovative work culture.
  • Continuous learning opportunities in cloud and data technologies.

About Us

Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and data transformation journeys. With strong expertise in cloud, data, AI, and engineering, Capgemini delivers end-to-end services that empower enterprises to innovate and scale efficiently.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds 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.