2024. 04. 19. | Teljes munkaidõ | Miskolc | Fujitsu Technology SolutionsRequirements and build Reports in Power BI Analytical approach to problem solving Identify and make recommendations poorly performing queries Team driven and actively engages with and works alongside colleagues Fluent verbal & written English language Desirable 5 years’ experience in data warehouse role
Nézze később2024. 04. 19. | Teljes munkaidõ | Miskolc | Link GroupAs a Data Warehouse Developer, you will be responsible for working with relational databases, particularly Microsoft SQL Server, and utilizing your expertise in SQL query language. Effective communication in English, both written and verbal, is essential, as is the ability to collaborate within
Nézze később2024. 04. 18. | Teljes munkaidõ | Miskolc | DataRiseLab Sp. z o.o.ABOUT US We are an IT Company offering our clients with a comprehensive support in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in the organization, creating advanced data
Nézze később2024. 04. 12. | Teljes munkaidõ | Miskolc | Deloitte PolskaOf SQL (any dialect, T-SQL, PL/SQL.) Knowledge of Scala or Python Advanced understanding of most of the listed concepts from the field of relational databases, data warehouses, analytical bases (OLTP/OLAP), BigData, data processing and transformation processes (ETL/ELT) Experience in some of Azure
Nézze később2023. 10. 09. | Teljes munkaidõ | Miskolc | ProxifyExperience designing and implementing data architectures and ETL processes. Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark). Experience with data warehouse platforms (e.g., Amazon Redshift, Google BigQuery, Snowflake). Familiarity with cloud platforms (AWS, GCP, or Azure
Nézze később2023. 10. 09. | Teljes munkaidõ | Miskolc | SAVENTIC HEALTH sp. z o.o.Control processes Optimization of data processing processes and SQL query optimization Automation of data delivery processes to the data warehouse Monitoring data delivery and processing processes Creation of Data Lake, Data Mart and Feature Store for visualization and modeling purposes Creation
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