EMPREGO SENIOR DATA AND SECURITY

Git) main requirements mandatory skills: data governance and process data modeler to design and implement data models, govern data assets, and develop scalable data...

Automate data ingestion, transformation, testing and integration processes to enhance data accessibility and data quality... help to implement data governance policies...

Design, develop, and maintain data assets for scalability, extensibility, performance, and re-use... utilize visanet data and visa’s analytical capabilities, technology...

The role aic requires solid and experienced infrastructure knowledge, bosch digital internal process understanding and insights to upcoming it concepts and solutions...

Assure multi-tenancy and secure data processing... leverage apache spark and object store technology to provide scalable and cost-effective computing and storage...

Manage sensitive data with expertise ensuring strict compliance with data privacy laws and security protocols to safeguard against unauthorized access and data...

Leadership in communication and reporting: skilled in leading communication efforts and reporting, adept at preparing and presenting comprehensive updates and reports...

Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues... works closely with enterprise teams including...

You will possess a willingness to learn new skills and build relationships with internal and external partners to maintain and enhance the safety and security standards...

Ensure compliance with data governance standards and policies including data security privacy and quality controls... identify and resolve performance bottlenecks...

It combines previously discrete capabilities into a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads...

\n strong hands-on experience with endpoint management, security  tools and platforms...   automate endpoint security processes, including patch management and updates...

data quality: collaborate with engineering teams to develop and maintain data pipelines and dashboards that enable scalable analysis and reporting across the organization...

You will spend around 50% of your time building and enhancing data lakes and data pipelines, and about 20% on defining and implementing dataops methodologies...

data management: understanding of data governance, data quality, and data lifecycle management... apis and microservices: understanding of building and consuming...