Data Engineer Lead

Dear Candidate,

Senior ERP Data Modeler

Company Details :

Royal Cyber is a trusted global IT consulting & digital transformation partner, empowering enterprises for over two decades to evolve with agility, security, and innovation. Founded in 2002, Royal Cyber has built a strong legacy of helping organizations modernize legacy systems, embrace cloud-native technologies, and adopt AI-driven solutions. With 20+ years of delivering business-critical digital projects, we serve clients across USA, Canada, UK, UAE, KSA, India, Australia, and more with innovation hubs and delivery centers strategically located to support 24/7 operations.

Global Presence: Headquartered in Naperville, IL (USA) Operations in 15+ countries 1,000+ certified consultants 1,000+ successful global deployments Fortune 500 client base across retail, banking, insurance, manufacturing, healthcare, and public sector

What We Specialize In:  

Cloud Transformation & DevOps (Azure, GCP, AWS)

Generative & Agentic AI (Enterprise-grade use cases powered by LLMs)

Digital Commerce & CX Platforms (Salesforce, SAP Commerce, Adobe, Magento, Creatio, HubSpot, Commerce tools)

Enterprise Integration & API Management (MuleSoft, Boomi, IBM)

Hyper automation & Low Code Enablement (UiPath, Appian, Power Platform)

Data Governance, Privacy & Security (Microsoft Purview, Zero Trust)

Legacy Modernization & Mainframe Refactoring (COBOL to Java, Monolith to Microservices)

Royal Cyber is on a journey to become the worlds most agile modernization partner—blending innovation, strategy, and delivery excellence to accelerate enterprise evolution. Let’s transform what's next — together.

URL : www.royalcyber.com

Job Requirement

For - Royal Cyber Private Limited – INDIA

Remote/Chennai/Bangalore - Full-Time- Timings 2 -11 PM IST

Key Responsibilities

• Develop and maintain robust data pipelines and ETL processes for SAP S/4 HANA OnPrem and Cloud environments.
• Collaborate with data architects and business teams to understand data requirements and implement technical solutions.
• Integrate data from SAP and other ERP systems into centralized data platforms using best-in-class engineering practices.
• Ensure data quality, consistency, and integrity across all systems and reporting layers.
• Optimize performance of data flows and troubleshoot issues across SAP HANA, SAP Data Services, and related technologies.
• Implement medallion architectures and support data lake initiatives for scalable analytics.
• Contribute to the development of reusable data engineering frameworks and automation tools.
• Stay current with emerging technologies and trends in data engineering, SAP, and cloud platforms.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• 6+ years of experience in data engineering, ETL development, and data integration.
• 3+ years of hands-on experience with SAP S/4 HANA in manufacturing, finance, or sales distribution domains.
• Proficiency in SAP HANA database, SAP Data Services, and SAP BW/4HANA.
• Strong SQL skills and experience with data modeling tools (e.g., ERwin, SAP PowerDesigner).
• Experience with cloud-based data platforms (e.g., Microsoft Fabric, Azure).
• Familiarity with Inmon, Kimball, and Data Vault methodologies.
• Experience with data lakes and medallion architecture design.
• Knowledge of data governance, master data management (MDM), and data quality frameworks.
• Familiarity with integration technologies (e.g., SAP PI/PO, SAP CPI, APIs).
• Strong communication and collaboration skills across technical and business teams.
• SAP certifications (e.g., SAP Certified Technology Associate – SAP HANA) are a plus.

Preferred Skills

• Experience with hybrid or cloud-based SAP S/4 HANA Manufacturing deployments.
• Experience with Power BI.

PS: Need someone who can join ASAP

please send your updated profile along with following details -

Current Salary :

Expected Salary :
Notice Period :

How soon can you join been offered :

Availability for Interview :

Your immediate reply is highly appreciable.