FBS Data Engineer at Capgemini Portugal

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

0.0

Posted On

29 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, Snowflake, Datawarehouse Concepts, Microsoft Fabric, Data Modeling, Data Pipeline Development, ETL, Data Governance, Performance Optimization, Data Validation, Reporting Solutions

Industry

IT Services and IT Consulting

Description

Responsible for developing and supporting reporting, analytics, and data solutions across on-premises and cloud platforms. Primarily focuses on building, enhancing, and maintaining reporting solutions and datasets, while also supporting data pipelines, integration, and data platforms. Ensures data is reliable, governed, and available in a ready-to-use format for reporting, analytics, and AI/ML use cases. Translates business requirements into scalable reporting and data engineering solutions, including data modeling, connectivity, and production support. 💡 Key Responsibilities: -Design, develop, and maintain reports, dashboards, and datasets to support business reporting and analytics needs. -Support preparation and transformation of structured and unstructured data for analytics, natural language processing, and AI-driven use cases. -Collaborate with business, reporting, and analytics teams to understand requirements and deliver reporting solutions aligned with business needs. -Support preparation and transformation of structured and unstructured data for reporting, analytics, and AI-driven use cases. -Design, develop, and maintain data pipelines to integrate data from multiple sources into enterprise platforms such as Snowflake or Lakehouse environments. -Configure and support data connectivity including gateways, service accounts, and secure access to data platforms. -Troubleshoot and resolve reporting and data issues such as refresh failures, data discrepancies, and connectivity problems to ensure reliability. -Apply performance optimization techniques across reports, datasets, and data pipelines to improve efficiency and user experience. -Ensure adherence to data governance, security, and compliance standards, including access management and standardized processes. -Translate business requirements into technical specifications and support delivery of reporting and data initiatives within defined timelines. -Create and maintain documentation for reports, datasets, data pipelines, and support processes. -Support data validation, cleansing, and enrichment to ensure accuracy for reporting, analytics, and AI/ML consumption. -Perform other duties as assigned. Power BI – MUST (Advanced) SQL – MUST (Advanced) Experience - 08 to 12 Years Nice to Have: Snowflake, Datawarehouse Concepts, Microsoft Fabric Competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally renowned group Private Health Insurance Pension Plan Paid Time Off Training & Development Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023. https://www.capgemini.com/us-en/about-us/who-we-are/

Responsibilities

Develop and maintain reporting solutions, dashboards, and data pipelines across on-premises and cloud platforms. Ensure data reliability and governance to support analytics, AI, and ML use cases.