SAP Senior Data Engineer 

India, Karnataka, Bengaluru 

959060701

What you’ll do

The Data Architect will be responsible for designing, creating, and managing our data infrastructure. This role involves developing data models, ensuring data quality, and collaborating with various teams to align data initiatives with business goals. The ideal candidate will have extensive experience in data management and a strong understanding of both technical and business requirements.

• Design and Implementation: Develop and implement scalable data architectures that support business needs and drive efficiency.

• Data Modeling: Create and maintain conceptual, logical, and physical data models to ensure optimal data organization and accessibility.

• Collaboration: Work closely with data scientists, analysts, and business stakeholders to gather requirements and translate them into data architecture solutions.

• Documentation: Maintain comprehensive documentation of data architectures, data flows, and data governance processes.

• Technology Evaluation: Stay updated on emerging data technologies and tools, making recommendations for improvements and upgrades.

• Collaborate with other solution architects and provide direction to development teams for solution realization.

What you bring

• Data Architecture Design: Design and implement scalable, efficient, and secure data architectures that support data ingestion, storage, and processing requirements.

• Develop data models and schemas that align with business needs and analytical goals.

• Evaluate and recommend technologies and tools for data management, including databases, data warehouses, and cloud platforms. Data Analysis and Insights

• Apply statistical analysis, machine learning, and other data science techniques to extract insights and generate actionable recommendations.

• Develop and deploy predictive and prescriptive models to support decision-making processes.

• Proficiency in programming languages in at least one of the programming languages Java and Python.

• Experience with data architecture frameworks and tools (e.g., data warehouses, ETL tools, cloud platforms like AWS, Azure, or Google Cloud).

• Familiarity with data visualization tools (e.g., SAP Datasphere, SAP SAC, Tableau, Power BI).

• Fluency both written and spoken in English,

Tech you'll learn

​

Job Segment:Data Architect, ERP, Cloud, Developer, Statistics, Data, Technology