FBS Sr Data Engineer

87b1b703-05b FBS Sr Data Engineer Responsible for acquiring, curating, and publishing data across on premises and cloud platforms to support analytical and operational needs. Ensures data is reliable, well structured, and ready for use, providing a single, trusted source of truth for all data consumers.

Translates business analytics requests into end to end solutions by designing, developing, testing, deploying, and maintaining robust data pipelines and platforms. Works independently across a broad range of technologies, including big data systems, relational and non relational databases, cloud environments, multiple programming languages, and reporting tools.

Collaborates closely with data science and AI teams to integrate AI solutions into enterprise data platforms and deliver scalable, high quality data solutions. Leads small team of technical architects, data modelers, and data pipeline builders.

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]]> full-time senior hybrid SQL, Microsoft SSIS, Microsoft SQL server and Azure SQL, Python and Shell scripting, AWS and Azure cloud Engineering Technology Capgemini https://logos.yubhub.co/capgemini.com.png A global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group has a strong 55-year heritage and deep industry expertise. https://www.capgemini.com/us-en/about-us/who-we-are/ https://jobs.workable.com/view/57WkhGPUrUHV4WmxDZvTMp/hybrid-fbs-sr-data-engineer-in-pune-at-capgemini Pune 2026-04-24 f4bc4a9f-b27 FBS Sr Data Engineer Responsible for acquiring, curating, and publishing data across on-premises and cloud platforms to support analytical and operational needs. Ensures data is reliable, well-structured, and ready for use, providing a single, trusted source of truth for all data consumers.

Translates business analytics requests into end-to-end solutions by designing, developing, testing, deploying, and maintaining robust data pipelines and platforms. Works independently across a broad range of technologies, including big data systems, relational and non-relational databases, cloud environments, multiple programming languages, and reporting tools.

Collaborates closely with data science and AI teams to integrate AI solutions into enterprise data platforms and deliver scalable, high-quality data solutions. Leads small teams of technical architects, data modelers, and data pipeline builders.

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