... 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, ... be passionate about building scalable data models and architecture for consumption ...
Undisclosed Salary... We are looking for Data Governance Lead who is self- ... passionate team with a big focus put on the amount ... nature, ranging from greenfield data projects, to shaping DataOps for ... design and implementation of data governance policies, procedures, and standards ...
... We are looking for Data Governance Lead who is self- ... passionate team with a big focus put on the amount ... nature, ranging from greenfield data projects, to shaping DataOps for ... design and implementation of data governance policies, procedures, and standards ...
... constant curiosity, a passion for data, and a deep understanding of the technologies behind data pipelines, warehousing, big data, and analytics. Prior experience successfully ...
... documentation for data storage, ETL processes, architecture guidelines, ... Mongo DB, and big data platforms (e.g., Hadoop, Spark). Familiarity with data governance frameworks, data quality management, data security practices, and regulatory compliance ( ...
... and Deployment Experience in Azure Data services, Databricks, Snowflake, MS Fabric Familiarity with big data frameworks such as Hadoop, Spark, ... experience in creating and delivering data platforms, data warehouses , has an exceptionally good ...
... years of experience in technologies: Big Query, Data Flow, SQL and Python ; Experience in migration data warehouses to Big Query . Knowledge of English Language ...
... 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, ... be passionate about building scalable data models and architecture for consumption ...
... about cluster and Commerzbank. The Big Data cluster is the enabler for data scientists and provides a huge collection of data and a data science workbench in one place. ...
... statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases data systems Filter and clean data by reviewing computer reports, printouts, ...