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Python with ADB Developer - Consultant / Senior Consultant

at Capgemini

Back to all Data Engineering jobs
Capgemini logo
Consultancies

Python with ADB Developer - Consultant / Senior Consultant

at Capgemini

Mid LevelNo visa sponsorshipData Engineering

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Develop and maintain scalable data pipelines using Python, Databricks, and PySpark for large-scale data processing. Manage cloud environments on Azure and implement DevOps practices within Agile/Scrum. Integrate and test APIs using JSON data and Postman to support automated workflows. Collaborate with cross-functional teams to deliver data solutions aligned with business goals.

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

As a Python Developer with Databricks, you will be responsible for developing and maintaining scalable data pipelines, managing cloud environments on Azure, and ensuring smooth integration with APIs. The ideal candidate will be proficient in Python, Databricks (PySpark), and Azure DevOps, with a strong understanding of cloud services, DevOps practices, and API testing.

In this role you will play a key role in:

  • Develop and maintain scalable data pipelines using Python, Databricks, and PySpark for large‑scale data processing.
  • Manage API ingestion and automation using JSON data and Postman for efficient workflow integration.
  • Handle cloud environment management via Azure Portal and implement DevOps practices within Agile/Scrum frameworks.
  • Collaborate with cross‑functional teams to deliver data solutions aligned with business and technical goals.

Your Profile

  • Strong Python skills with experience in data processing libraries like Pandas and NumPy.
  • Hands-on experience with Databricks (PySpark) for large-scale data processing and analysis.
  • Proficient in Azure Portal for managing cloud services and experienced in DevOps/Agile (Scrum) practices.
  • Skilled in working with APIs (JSON) and using Postman for API testing and automation.

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.

Python with ADB Developer - Consultant / Senior Consultant

at Capgemini

Back to all Data Engineering jobs
Capgemini logo
Consultancies

Python with ADB Developer - Consultant / Senior Consultant

at Capgemini

Mid LevelNo visa sponsorshipData Engineering

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Develop and maintain scalable data pipelines using Python, Databricks, and PySpark for large-scale data processing. Manage cloud environments on Azure and implement DevOps practices within Agile/Scrum. Integrate and test APIs using JSON data and Postman to support automated workflows. Collaborate with cross-functional teams to deliver data solutions aligned with business goals.

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

As a Python Developer with Databricks, you will be responsible for developing and maintaining scalable data pipelines, managing cloud environments on Azure, and ensuring smooth integration with APIs. The ideal candidate will be proficient in Python, Databricks (PySpark), and Azure DevOps, with a strong understanding of cloud services, DevOps practices, and API testing.

In this role you will play a key role in:

  • Develop and maintain scalable data pipelines using Python, Databricks, and PySpark for large‑scale data processing.
  • Manage API ingestion and automation using JSON data and Postman for efficient workflow integration.
  • Handle cloud environment management via Azure Portal and implement DevOps practices within Agile/Scrum frameworks.
  • Collaborate with cross‑functional teams to deliver data solutions aligned with business and technical goals.

Your Profile

  • Strong Python skills with experience in data processing libraries like Pandas and NumPy.
  • Hands-on experience with Databricks (PySpark) for large-scale data processing and analysis.
  • Proficient in Azure Portal for managing cloud services and experienced in DevOps/Agile (Scrum) practices.
  • Skilled in working with APIs (JSON) and using Postman for API testing and automation.

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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