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Data Analytics

at Capgemini

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Consultancies

Data Analytics

at Capgemini

Mid LevelNo visa sponsorshipData Engineering

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Analyze large and complex datasets to identify trends, patterns, and insights that support business decision-making. Design, build, and optimize SQL queries, data models, and analytical datasets for reporting and advanced analysis, and develop BI dashboards using enterprise tools; work with cloud platforms (Azure, AWS, or GCP) for data access and processing. Collaborate with data engineering on data pipelines, data quality checks, and performance optimization, while supporting AI-driven analytics initiatives in Agile delivery environments.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

    Analyse large and complex datasets to identify trends, patterns, and insights that support business decision-making. Develop and optimize SQL queries, data models, and analytical datasets for reporting and advanced analysis.
    Design, build, and maintain BI dashboards and reports using enterprise BI tools. Work with cloud platforms (Azure, AWS, or GCP) to access, process, and analyse data. Perform data preparation, transformation and validation using Python, PySpark and Databricks.
    Collaborate with data engineering teams on data pipelines, data quality checks, and performance optimization. apply data modelling principles to ensure scalable and reusable analytical datasets. Support AI-driven analytics initiatives, including exploratory analysis and feature preparation.
    Work in Agile delivery environments, contributing to sprint planning, backlog refinement, and demos. Maintain documentation and governance artifacts using JIRA, Confluence, and DevOps tools.

Your Profile

    Strong proficiency in SQL for data analysis and data validation. Hands-on experience with Python for data analysis, transformation, and automation. Experience with BI tools (e.g., Power BI, Tableau, Looker, or similar).
    Practical experience with cloud platforms: Azure, AWS, or GCP (at least one required). Working knowledge of PySpark and Databricks for large-scale data processing.
    Solid understanding of data modelling concepts (dimensional modelling, fact/dimension tables). Good balance of Data Analytics, Data Engineering, Data Modelling, and Business Intelligence skills.
    Familiarity with Agile methodologies and tools such as JIRA and Confluence. Experience working with DevOps practices and CI/CD pipelines for data solutions.

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.

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.

Data Analytics

at Capgemini

AI-Generated Resumes
Improve/bulletproof your resume against common mistakes or generate a new one, with our in-house AI trained on 100s of ex-intern and graduate CVs
SUBSCRIBE NOW
Back to all Data Engineering jobs
Apply now
Capgemini logo
Consultancies

Data Analytics

at Capgemini

Mid LevelNo visa sponsorshipData Engineering

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Analyze large and complex datasets to identify trends, patterns, and insights that support business decision-making. Design, build, and optimize SQL queries, data models, and analytical datasets for reporting and advanced analysis, and develop BI dashboards using enterprise tools; work with cloud platforms (Azure, AWS, or GCP) for data access and processing. Collaborate with data engineering on data pipelines, data quality checks, and performance optimization, while supporting AI-driven analytics initiatives in Agile delivery environments.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

    Analyse large and complex datasets to identify trends, patterns, and insights that support business decision-making. Develop and optimize SQL queries, data models, and analytical datasets for reporting and advanced analysis.
    Design, build, and maintain BI dashboards and reports using enterprise BI tools. Work with cloud platforms (Azure, AWS, or GCP) to access, process, and analyse data. Perform data preparation, transformation and validation using Python, PySpark and Databricks.
    Collaborate with data engineering teams on data pipelines, data quality checks, and performance optimization. apply data modelling principles to ensure scalable and reusable analytical datasets. Support AI-driven analytics initiatives, including exploratory analysis and feature preparation.
    Work in Agile delivery environments, contributing to sprint planning, backlog refinement, and demos. Maintain documentation and governance artifacts using JIRA, Confluence, and DevOps tools.

Your Profile

    Strong proficiency in SQL for data analysis and data validation. Hands-on experience with Python for data analysis, transformation, and automation. Experience with BI tools (e.g., Power BI, Tableau, Looker, or similar).
    Practical experience with cloud platforms: Azure, AWS, or GCP (at least one required). Working knowledge of PySpark and Databricks for large-scale data processing.
    Solid understanding of data modelling concepts (dimensional modelling, fact/dimension tables). Good balance of Data Analytics, Data Engineering, Data Modelling, and Business Intelligence skills.
    Familiarity with Agile methodologies and tools such as JIRA and Confluence. Experience working with DevOps practices and CI/CD pipelines for data solutions.

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.

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.

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