... -5 years of experience in Data Warehousing with On-Premises or ... of Power BI, concentrating on Data Modelling rather than visualizations Educated ... Azure Synapse Analytics, and Azure Data Lake. Working experience with Azure ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...
... other relevant tools to prepare data for analysis and reporting.Data Quality and Governance: Implement data quality checks and data governance practices to ensure the ... of Power BI, concentrating on Data Modelling rather than visualizationsGraduate degree ...
... development teams to ensure accurate data tracking and instrumentation. Implement data collection strategies to maintain data integrity. Apply advanced statistical analysis ...
... enthusiastic Solution Architect for Data & Analytics who can bring his ... in projects related to data solutions (data lake, system integration, data migration, data warehousing experience with cloud-based data platforms), experience in documenting solution ...
... ) to identify the needs for data collection at system, site and network ... to improve the reports and data collection and verify that the improvements ... assure the efficiency of the data collection in different projects and solutions. ...
... highly motivated and experienced Senior Data Engineer to join their Data Engineering team. You will work ... all engineering stages for a data platform by providing end-to-end, full-stack data expertise from design to build. ...
... our partners to become real data driven entities. Currently we are ... a complex system of smart data solutions have opportunity to work ... diverse team of ground-breaking data scientists, data engineers, BI developers, UX designers ...
... technical expertise Experience with building data pipelines, creating complex data transformations, automatic data testing, building deployment flows Fluent ...
... . In-depth knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Expertise in data modeling, data integration, and ETL processes. Familiarity with data governance, data security, and compliance standards. Proficiency ...