Senior Technical Consultant, SAP Data Intelligence

Arbi Arredobagno

full-time

Posted on: 9/18/2025

Origin: • 🇮🇳 India

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Senior

AWSAzureCloudDockerETLGoogle Cloud PlatformHadoopKubernetesPythonSQL

About the role

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 DI’s data management capabilities.
Maintain documentation for data flows, transformations, and architecture.

Bachelor’s/Master’s degree in Computer Science, Information Systems, Engineering, or related field.
3–8 years of experience in data engineering or data integration, with at least 1–2 years hands-on experience in SAP Data Intelligence (version 3.x or later).
Proficient in data integration concepts, ETL/ELT pipelines, and metadata management.
Knowledge of SAP systems such as S/4HANA, BW/4HANA, SAP HANA.
Experience working with cloud platforms (Azure, AWS, GCP) and Big Data technologies is a plus.
Strong understanding of data governance, security, and compliance frameworks.
Hands-on experience with Python, SQL, and Docker containers.
Experience in working with meta data explorer.
Familiarity with Kubernetes, Git, and CI/CD pipelines is desirable.
Excellent communication and stakeholder management skill