SAP Datasphere Specialist with Databricks Expertise
Bengaluru, Karnataka, India · Tempo total
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- Experiência
- Mais de 2 anos
- Salário
- —
- Vagas
- 1
- Publicado
- há 14 horas
- Modo de trabalho
- No escritório
- Educação
- Qualquer graduado
- Elegibilidade
- Candidates who have completed any graduate degree are eligible to apply.
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About Tata Consultancy Services
Tata Consultancy Services (TCS) is a global leader in IT and business solutions, employing over 612,000 professionals across 55 countries. In the fiscal year 2023-24, it recorded revenues of USD 29.08 billion. TCS delivers an array of services, including cloud infrastructure, cognitive business operations, cybersecurity, consulting, enterprise solutions, IoT and digital engineering, data and analytics. As one of the largest equal opportunity employers in India, TCS boasts more than 100,000 female associates and is consistently ranked among the most respected companies in the country.
Role Overview and Responsibilities
This position requires comprehensive expertise in SAP Datasphere and Databricks to develop, integrate, and manage enterprise data solutions. The candidate will be responsible for leveraging SAP Datasphere functionalities such as Space Management, Data Builder, Business Builder, and establishing integrations with S/4HANA or BW/4HANA environments. Additionally, they will design and implement robust lakehouse architectures using Databricks technologies including PySpark and Delta Lake.
Key Responsibilities
- Design, develop, and maintain SAP Datasphere environments with practical application of Space Management, Data Builder, and Business Builder modules.
- Build scalable enterprise-grade lakehouses on Databricks utilizing PySpark and Delta Lake frameworks.
- Implement advanced data ingestion techniques involving SAP cloud ecosystem integration with hyperscaler storage services such as ADLS Gen2 and AWS S3, facilitated via Kafka, SAP FedML, or OData/CDI streaming protocols.
- Ensure robust data governance by managing cross-platform data access and lineage through Unity Catalog.
- Collaborate effectively with both traditional SAP functional teams and modern cloud data science teams, translating requirements across ecosystems.
- Apply Agile methodologies and DevOps practices, including CI/CD pipelines using tools like Git, Azure DevOps, and GitHub Actions tailored for Databricks notebooks and Datasphere transport packages.
- Communicate complex architectural decisions clearly to executive leadership and technical stakeholders.
Candidate Requirements
- Minimum 2 years of professional production experience with SAP Datasphere.
- At least 3 years of practical experience developing enterprise solutions using Databricks, PySpark, and Delta Lake.
- In-depth knowledge of modern data ingestion and integration patterns involving SAP cloud products and hyperscaler storages.
- Proven skills in data governance and managing data access across platforms.
- Fluency in both SAP functional domains and cloud data science terminologies.
- Experience with CI/CD tools and Agile/DevOps workflows in data platform contexts.
- Excellent communication skills for stakeholder engagement.
Eligibility
Applicants must hold at least a graduate degree in any discipline.