Data Engineer & Data Visualization Engineer - Remote

Data Engineer & Data Visualization Engineer Experience: 6+ Years

Duration: 6 Months Contract

Work Location: Remote, India

Work Timings: 3:00 PM 12:00 AM IST

Employment Type: Contract

Role Overview 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.

Key Responsibilities

• 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.

Required Technical Skills SAP Datasphere

• Strong hands-on experience with SAP Datasphere.
• Experience designing and developing data models and analytical models.
• Experience with data integration, transformation, and data preparation within Datasphere.
• Understanding of Datasphere architecture and its role in enterprise analytics.

Microsoft Fabric

• Hands-on experience with Microsoft Fabric.
• Experience working with Fabric data engineering and analytics capabilities.
• 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.

Power BI

• Strong hands-on experience developing Power BI reports and dashboards.
• Experience creating semantic models, datasets, relationships, measures, and calculated metrics.
• Strong understanding of data visualization principles and dashboard design.
• Experience with DAX and Power BI data modeling.
• Ability to optimize Power BI reports and models for performance.
• Experience translating business requirements into intuitive and actionable dashboards.

Data Engineering & Modeling

• Strong understanding of data engineering concepts, ETL/ELT processes, data transformation, and data modeling.
• Experience designing scalable data pipelines for analytics and reporting.
• Strong knowledge of dimensional modeling concepts such as fact tables, dimension tables, star schemas, and semantic layers.
• Experience working with structured and enterprise data sources.
• Strong data validation and troubleshooting capabilities.

Required Soft Skills

• 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.

Mandatory Requirement Candidates Must Have Hands-on Experience Across BOTH Areas Data Engineering: SAP Datasphere + Microsoft Fabric + Data Modeling/Pipelines Data Visualization: Power BI + Semantic Modeling + Dashboard/Report Development

Candidates with experience only in Data Engineering or only in Power BI/Visualization will not be suitable for this position.

Preferred Profile

• 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.
• Experience working directly with business stakeholders to convert reporting requirements into scalable analytical solutions.
• Comfortable working across data preparation, engineering, modeling, semantic layer development, and visualization.