Overview

Data Engineer Data Visualization Engineer

Responsibilities

• We are looking for a Data Engineer Data Visualization Engineer with 6+ years of experience who can work across both data engineering and business intelligence/visualization .
• The ideal candidate should have hands-on experience designing and developing data models, data pipelines, and analytical solutions using SAP Datasphere and Microsoft Fabric , along with strong expertise in developing Power BI reports, dashboards, and semantic models .
• This role requires a hands-on generalist who can work across the complete data lifecycle-from understanding business reporting requirements and preparing data to building scalable data models and delivering polished, business-ready visualizations.
• We re hiring for one of the top IT services companies.
• SPADTEK Solutions is proud to collaborate with leading IT organizations to source exceptional talent for their full-time and Contract positions. Client/Implementation Partner is a globally recognized IT services and consulting company, trusted by Fortune 500 clients and enterprises worldwide. With a strong presence across cloud, data engineering, AI, and digital transformation and is known for delivering cutting-edge solutions that drive business growth and innovation.
• Working on enterprise-scale projects with global clients. Exposure to next-gen technologies across cloud, data, and digital platforms. A culture that values continuous learning, collaboration, and career growth.
• Being part of a company consistently ranked among the top IT employers. If you are an experienced professional seeking a long-term career opportunity with one of the industry s most respected names, this is your chance to join top IT services company through SPADTEK Solutions.
• Design, develop, and maintain scalable data models and data pipelines using SAP Datasphere and Microsoft Fabric .
• Develop and optimize data integration and transformation processes to support reporting and analytics requirements.
• Work with business stakeholders to understand reporting requirements, KPIs, metrics, and analytical needs.
• Translate business requirements into technical data solutions, semantic models, dashboards, and reports .
• Design and implement analytical data models suitable for reporting and business intelligence.
• Develop high-quality Power BI reports, dashboards, and visualizations with a strong focus on usability and performance.
• Build and maintain Power BI semantic models , datasets, measures, and relationships.
• Perform data preparation, cleansing, transformation, and validation to ensure data accuracy and consistency.
• Work across the SAP Datasphere-Microsoft Fabric-Power BI ecosystem to deliver end-to-end analytics solutions.
• Optimize data models, queries, pipelines, and Power BI reports for performance and scalability.
• Collaborate with data engineers, BI developers, architects, and business stakeholders throughout the development lifecycle.
• Troubleshoot data pipeline, modeling, reporting, and visualization issues.
• Ensure data quality, governance, consistency, and reliability across analytical solutions.
• Participate in requirement discussions, solution design, development, testing, deployment, and production support.

Qualifications

• Work Location: Remote, India
• Work Timings: 3:00 PM - 12:00 AM IST
• Strong hands-on experience with SAP Datasphere .
• Understanding of Datasphere architecture and its role in enterprise analytics.
• Hands-on experience with Microsoft Fabric .
• Understanding of data pipelines, data transformation, and analytical data models within the Fabric ecosystem.
• Ability to integrate and work across SAP and Microsoft data environments.
• Strong hands-on experience developing Power BI reports and dashboards .
• Strong understanding of data visualization principles and dashboard design.
• Ability to optimize Power BI reports and models for performance.
• Strong understanding of data engineering concepts, ETL/ELT processes, data transformation, and data modeling .
• Strong knowledge of dimensional modeling concepts such as fact tables, dimension tables, star schemas, and semantic layers .
• Strong data validation and troubleshooting capabilities.
• Strong analytical and problem-solving skills.
• Ability to understand complex business reporting requirements and convert them into technical solutions.
• Strong communication and stakeholder management skills.
• Ability to work independently in a remote environment.
• Strong attention to detail and focus on data accuracy.
• Ability to work across both data engineering and visualization rather than specializing exclusively in one area.
• 6+ years of overall experience in Data Engineering, BI, Analytics, or related areas.
• Strong hands-on experience with SAP Datasphere, Microsoft Fabric, and Power BI .
• Proven experience delivering end-to-end data and visualization solutions .
• Comfortable working across data preparation, engineering, modeling, semantic layer development, and visualization.