Data Engineer Middle Senior
... cross-functional team to develop data pipelines to ingest, transform, distribute and expose data from the group’s Core Data Lake for integration, reporting, analytics, ...
... cross-functional team to develop data pipelines to ingest, transform, distribute and expose data from the group’s Core Data Lake for integration, reporting, analytics, ...
... need to be answered through data analysis - Collect data from various sources, identify and address data quality issues, and convert the data into a format suitable for ...
... . About the project: As a Data Engineer, you will collaborate closely ... techniques to derive deep insights from data, contributing to strategic planning and ... when it comes to working from the office or home; Perks incl. Multikafeteria, Group Life ...
... for highly complex and critical data projects. Some of these projects will include migration from the old ETL Data integration tool to AWS (Glue, ...
... optimizing performance of existing solutions; Data quality checks implementation; Designing, managing ... coach), yoga classes, internal competitions, from cookery to photography, a ping- ...
... throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in ...
... for: Experience requesting data from APIs (JSON) Familiarity with distributed data analysis data processing platforms (e.g. Apache ... be done at home [a few hours spent in the evening or two] Call with the Data Engineering Team (feedback on the ...
... of the following data services and technologies in Azure (for example Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, Azure Data Explorer); Good understanding of Azure ... classes, internal competitions, from cookery to photography, a ping- ...
... the foundation and model the data • Develop a platform for building and maintaining data pipelines that collect data from different sources • Create Data Warehouse • Analyze and prepare domain ...
... the foundation and model the data • Develop a platform for building and maintaining data pipelines that collect data from different sources • Create Data Warehouse • Analyze and prepare domain ...