Argano - Data Architect - SAP Data Intelligence

Description :

JOB TITLE : Data Architect - SAP Data Intelligence

DEPARTMENT : SAP Delivery DES

Location : Hyderabad / Pune / Hybrid

Job Description : SAP (Data Intelligence) DI Consultant

Shift Timings : EST Shifts (5 PM 1.30 AM IST)

We are seeking an experienced SAP Data Intelligence professional to design, develop, and manage data integration and pipeline solutions using SAP Data Intelligence.

The role involves working closely with stakeholders to integrate disparate data sources, build scalable data pipelines, and enable advanced analytics and machine learning capabilities across enterprise systems.

Key Responsibilities :

• Design and implement data pipelines using SAP Data Intelligence (DI) to orchestrate data flows across heterogeneous systems (SAP and non-SAP).
• Integrate structured and unstructured data from sources like SAP S / 4HANA, SAP BW / 4HANA, SAP HANA, Azure, AWS, Hadoop, REST APIs, etc.
• Leverage SAP DI operators, pipelines, and metadata explorers to design modular and reusable data processes.
• Enable and support data preparation, data profiling, and data lineage for analytical and AI / ML initiatives.
• Collaborate with data scientists, analysts, and business users to understand data requirements and ensure effective data delivery.
• Monitor and optimize performance of data pipelines and troubleshoot issues related to connectivity, transformation, and orchestration.
• Ensure data governance, quality, and compliance using SAP DIs data management capabilities.
• Maintain documentation for data flows, transformations, and architecture.

Requirements :

Skills :

About Us :

Argano is the first of its kind : a digital consultancy totally immersed in high-performance operations.

We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth.

Argano is an equal-opportunity employer.

All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

(ref : hirist.tech)