... semantics, such as clock throttle reasons. Understanding of multi-GPU scaling for larger models (tensor/pipeline parallelism, NCCL). Experience building automated data-quality validation for time-series or sensor data. Responsibilities: Port the test procedure to new hardware. Datacenter GPUs and edge devices differ in their ...
... ready to drive meaningful change through data governance, we’d love to hear from you — apply today. Responsibilities Design and validate future-state master data governance processes aligned with transformation goals Drive process reengineering initiatives and define governance workflows and data quality standards Conduct ...
... ready to drive meaningful change through data governance, we’d love to hear from you — apply today. Responsibilities Design and validate future-state master data governance processes aligned with transformation goals Drive process reengineering initiatives and define governance workflows and data quality standards Conduct ...
... routines. - Collaborate with PC teams to improve data quality during adjustments and develop tooling for better visualization and review. - Manage resolution of data exceptions, including requirements documentation, stakeholder alignment, testing, and supporting go-lives. - Produce high-quality project analysis and documentation ...
... stakeholders to understand data requirements and ensure alignment of metadata standards with business needs. Populate the metadata repository with comprehensive metadata for all data assets, including data lineage, usage, and dependencies. Define and enforce metadata governance policies and procedures to ensure the quality, consistency, ...
... stakeholders to understand data requirements and ensure alignment of metadata standards with business needs. Populate the metadata repository with comprehensive metadata for all data assets, including data lineage, usage, and dependencies. Define and enforce metadata governance policies and procedures to ensure the quality, consistency, ...
... of experience on construction projects, experience in project planning both software and principles, as well as decent Excel skills, and a strong interest in data - Communication skills: You’re proficient in written and verbal English and have the charisma and influence to get construction people to do new things and take ...
Specjalista/ka ds. Bezpieczeństwa IT (Data Loss Prevention) - projektowanie, wdrażanie, rozwój i utrzymanie procesu przeciwdziałania wyciekom informacji (Data Loss Prevention), - monitorowanie, analiza oraz obsługa incydentów związanych z nieuprawnionym przepływem danych, - definiowanie, wdrażanie i optymalizacja polityk ...
... methodology Advanced SQL skills with practical experience working with large datasets, data profiling, and data analysis Solid understanding of DWH fundamentals, data modeling, data quality, and data architecture principles Experience creating and reviewing source-to-target mappings, data requirements, and project documentation ...
... technical and functional system documentation. Cooperating in the development of new solutions and defining technical directions. Implementing actions to improve data quality in systems and applications exporting data to the data warehouse. Supporting the review of technical specifications, as well as project, technical, and ...
... includes PostgreSQL and analytical databases like ClickHouse. You'll work within the Platform Team, alongside DBAs providing expertise on MSSQL as well as other databases, and you'll be the person who makes sure our database landscape stays fast, safe, and ready for what's next. WHAT YOU'LL DO - Own database reliability end-to-end- ...
... Warehouse and analytics solutions Develop data pipelines and transformation workflows Create semantic models and reporting solutions using Power BI Integrate data from multiple enterprise systems Ensure data quality, performance and scalability across analytics platforms Collaborate with business stakeholders to understand ...
... Integrating audit logging for operational transparency Utilizing AI-assisted development tools such as Claude Code or GitHub Copilot Translating complex operational data into intuitive, user-friendly interfaces Maintaining a strong analytical mindset with a healthy skepticism toward telemetry data quality Validating metrics and ...
... Minimize Customer Escalations, Response to all Calls and Chat. . Collaborate with other team members in case resolution to meet performance metrics. (including data quality and integrations issues) · Monitor case resolution and provide service user with status updates and/or a possible workaround until the issue is resolved. ...
... related field. Very good English - at least B2+ Nice to Have Experience with accessibility testing (WCAG 2.1, Section 508). Exposure to AI/ML applications or data quality testing. Knowledge of PySpark or distributed data processing environments. We offer a full-time employment contract Location – Poland; work model – remote ...
... leadership across design, implementation, testing, deployment, and production support while mentoring engineers and helping the team maintain high standards for quality, resiliency, scalability, and maintainability. - Build software with strong attention to reliability, observability, auditability, data quality, and operational ...
... - proficient in MS Office, especially Excel, - team player with motivation to grow, - client-focused mindset. Responsibilities - maintain and validate static data to ensure high levels of accuracy, consistency, and data quality, - review and analyze documentation related to Private Capital funds, including Private Equity, ...
... consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks ...
... Testing developed software and verifying the correctness of implemented solutions. Supporting the delivery and implementation of solutions based on relational databases. Requirements: Minimum 5 years of experience working with relational databases, with PostgreSQL being the preferred database technology. Minimum 4 years ...