Principal Data Engineer @ Proxet
... make the final decision as analysts cant rely on the existing data due to possible human errors and complicated data management. The solution is to build a unified data platform that will be integrated ...
... make the final decision as analysts cant rely on the existing data due to possible human errors and complicated data management. The solution is to build a unified data platform that will be integrated ...
... make the final decision as analysts cant rely on the existing data due to possible human errors and complicated data management. The solution is to build a unified data platform that will be integrated ...
... working with a team of Data Engineers, ML Engineers, and Data Analysts in collaboration with product and business managers across the company’s data ecosystem to design and continue ...
... make the final decision as analysts cant rely on the existing data due to possible human errors and complicated data management. The solution is to build a unified data platform that will be integrated ...
... business analysts, developers, and data scientists, to understand requirements and drive data-related initiatives. Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques. Knowledge of data security ...
... make the final decision as analysts cant rely on the existing data due to possible human errors and complicated data management. The solution is to build a unified data platform that will be integrated ...
... make the final decision as analysts cant rely on the existing data due to possible human errors and complicated data management. The solution is to build a unified data platform that will be integrated ...
... : SQL, Azure, ETL, Python PySpark , Data warehouses, Data warehouse, Azure Data Lake, Databricks, Data Modelling Skills , Data Lake Tools: Azure DevOps, Confluence, ...
... ensuring that the data remains usable by default. To achieve this, data stewards proactively manage the product ... and understanding of data within their related data domain and works closely with the source of data, such as customers. They operate ...
... : SQL, Azure, ETL, Python PySpark , Data warehouses, Data warehouse, Azure Data Lake, Databricks, Data Modelling Skills , Data Lake Tools: Azure DevOps, Confluence, ...