11 data entry English-speaking jobs in Chemnitz

Our remote hands support ensures smooth operations within data center facility around the clock. ... About Us: Reboot Monkey offers seamless data center management and colocation services, handling collocated ... We pride ourselves on optimizing and managing data center environments efficiently, providing reliable ... Regulatory Compliance: Ensure all data center projects comply with local, national, and international ... project plans, including timelines, budgets, and resource allocation for both client-facing and external data

Minimum of 3-5 years of hands-on experience as a Data Center Technician, Field Engineer, or similar role ... Relevant Skills: Strong knowledge of data center best practices, including cabling standards (e.g., fiber ... technical presentations for prospective customers, effectively communicating the value proposition of our data

warehousing or big data technologies. ... , big data, and financial market infrastructure. ... You will be part of a collaborative engineering team building next-generation services for data warehousing ... Understanding of financial instruments, execution principles, and market structure Prior experience with data

Knowledge of SQL/No-SQL databases and data modeling. ... Please note: For data protection reasons, we are not allowed to process email applications.

containerization   Comfort working in agile, modular environments   Bonus: Experience with real-time data

containerization   Comfort working in agile, modular environments   Bonus: Experience with real-time data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

Collaborate closely with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment