SAP Datasphere Developer

LingaTech; Middletown Township (PA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

LingaTech, LLC is seeking a SAP Datasphere Developer to design, develop, and maintain enterprise data models, data flows, and analytical solutions using SAP Datasphere and related SAP technologies. You will support reporting, planning, and analytics initiatives by delivering scalable, secure data solutions and contributing to enterprise applications.

The role involves implementing data transformations, integrating with S/4HANA, BW/4HANA, SAC, and HANA, and driving data governance and performance

Qualifications

• 1+ years of SAP Datasphere development experience (Junior).
• 2+ years of SAP Datasphere development experience (Developer).
• 3+ years of SAP Datasphere development experience (Senior).
• 2+ years of SAP data engineering or analytics development experience (Junior).
• 3–7 years of SAP data engineering or analytics development experience (Developer).
• 7+ years of SAP data engineering or analytics development experience (Senior).
• Experience supporting enterprise reporting and analytics platforms.
• Strong understanding of data architecture and analytics best practices.
• Hands-on experience with SAP Datasphere models and data flows.
• Hands-on experience with data integration pipelines.
• SQL and data transformation expertise.
• Knowledge of data warehousing concepts and security.
• Experience with cloud analytics platforms.

Responsibilities

• Design, develop, and maintain SAP Datasphere data models and data flows.
• Develop integrations between SAP Datasphere and SAP/S4HANA and other systems.
• Design and maintain ETL/ELT processes for data ingestion and transformation.
• Build analytic datasets and semantic models for dashboards and reporting.
• Implement data transformation logic and ensure data quality and governance.
• Optimize data models, queries, and processing for performance.
• Collaborate with infrastructure and database teams to improve scalability.
• Participate in data governance, metadata, and access control activities.
• Develop scripts and reusable components; create API integrations.
• Automate data loading, validation, and reporting processes.
• Conduct unit, integration, and UAT testing; validate outputs.
• Support production deployments and ongoing operations.
• Provide technical guidance and knowledge transfer to teams.

Skills

SAP Datasphere development

Data modeling

ETL/ELT design

SQL queries

Data governance

API integrations

Performance tuning

Analytical troubleshooting

Collaborative skills

Education

Bachelor's degree in CS/IT/Data Analytics

Tools

SAP Datasphere

SAP S/4HANA

SAP BW/4HANA

SAP Analytics Cloud

SAP HANA

APIs & integration services

Job description

Hybrid: Onsite one week per month

Job Overview

The SAP Datasphere Developer will design, develop, and maintain enterprise data models, integration pipelines, and analytical solutions using SAP Datasphere and related SAP technologies. This role will support enterprise reporting, planning, and analytics initiatives by delivering scalable, secure, and high-performing data solutions while contributing to the continued development of enterprise applications.

Job Duties and Responsibilities

• Design, develop, and maintain SAP Datasphere data models, data flows, semantic models, business layers, data products, analytical views, and data transformations.
• Develop and support integrations between SAP Datasphere and SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud (SAC), SAP HANA, external databases, cloud platforms, and non-SAP enterprise systems.
• Design and maintain ETL/ELT processes and data pipelines to support data ingestion, harmonization, transformation, and synchronization.
• Develop enterprise data models supporting operational reporting, executive dashboards, KPI reporting, forecasting, planning, and financial and operational analytics.
• Implement business rules and data transformation logic while ensuring enterprise data structures remain consistent, scalable, and maintainable.
• Analyze and optimize data models, queries, data processing, storage, data virtualization, and large-volume data processing performance.
• Collaborate with infrastructure and database teams to improve system performance and scalability.
• Support enterprise data governance initiatives, including data quality management, metadata management, data lineage, role-based access controls, security, and regulatory compliance.
• Develop scripts, automation routines, reusable components, SQL queries, and API integrations to support enterprise analytics operations.
• Automate data loading, validation, and reporting processes while adhering to enterprise development standards and best practices.
• Develop and execute unit, integration, data validation, and user acceptance testing (UAT).
• Validate data accuracy, integrity, completeness, and reporting outputs.
• Perform defect analysis, troubleshooting, and issue resolution.
• Support production deployments, maintenance windows, and ongoing operational support.
• Monitor and troubleshoot SAP Datasphere environments and data processing workflows.
• Participate in root cause analysis and continuous improvement initiatives to maintain reliable reporting and analytics operations.
• Create and maintain technical specifications, data model documentation, integration diagrams, operational procedures, and support runbooks.
• Provide technical guidance and knowledge transfer to internal teams and business users.
• Collaborate with SAP Datasphere architects, SAP functional consultants, analytics and reporting teams, data engineers, and business stakeholders.
• Participate in technical workshops, architecture reviews, and Agile delivery activities.
• Translate business requirements into scalable enterprise data solutions.

Job Requirements Required Qualifications

• 1+ years of direct SAP Datasphere development experience (Junior).
• 2+ years of direct SAP Datasphere development experience (Developer).
• 3+ years of direct SAP Datasphere development experience (Senior).
• 2+ years of SAP data engineering or analytics development experience (Junior).
• 3–7 years of SAP data engineering or analytics development experience (Developer).
• 7+ years of SAP data engineering or analytics development experience (Senior).
• Proven experience supporting enterprise reporting and analytics platforms.
• Strong understanding of enterprise data architecture and analytics best practices.
• Hands-on experience developing SAP Datasphere models and data flows.
• Hands-on experience developing data integration pipelines.
• Hands-on experience developing analytical datasets and semantic models.
• Hands-on experience with SQL queries and transformation logic.
• Strong understanding of data warehousing concepts, ETL/ELT methodologies, SAP analytics architecture, data governance and security, and cloud-native analytics platforms.
• Experience with SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud (SAC), and SAP HANA.
• Experience with APIs and integration services.
• Experience with performance optimization and troubleshooting.
• Strong data modeling and analytics development capabilities.
• Strong analytical and technical troubleshooting abilities.
• Excellent communication and collaboration skills.
• Ability to translate business requirements into technical data solutions.
• Strong organizational and documentation skills.
• Ability to manage multiple priorities and deadlines.
• Strong attention to detail and commitment to data quality.

Preferred Qualifications

• Experience with SAP Business Technology Platform (BTP).
• Experience with predictive analytics and AI-enabled reporting.
• Experience with data virtualization technologies.
• Experience with enterprise cloud data platforms.
• Experience with DevOps and CI/CD methodologies.
• Experience in utilities, transportation, manufacturing, finance, or public sector industries.
• Experience supporting large-scale enterprise analytics initiatives.
• Experience supporting Agile and hybrid delivery methodologies.
• Prior consulting or contractor experience in enterprise SAP environments.

Preferred Certifications

• SAP Certified Technology Specialist – SAP Datasphere.
• SAP Certified Application Associate – SAP Analytics Cloud.
• SAP Certified Application Associate – SAP BW/4HANA.
• SAP Certified Technology Associate – SAP HANA.
• Cloud certifications in Azure, AWS, or Google Cloud.
• Data engineering or analytics certifications.

Education

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Information Systems, Engineering, or a related technical discipline.
• An equivalent combination of education and relevant experience may be considered.