Archiviertes Projekt - Data Warehouse Lead - 6 month contract
Firmenname für PREMIUM-Mitglieder sichtbar
- März 2021
- September 2021
- D-10115 Berlin
- auf Anfrage
- Remote
- 17.02.2021
Projektbeschreibung
Interviewing and onboarding for this role will be going ahead remotely while Covid-19 restrictions are in place.
On behalf of our rapidly expanding client based in Berlin, we are recruiting for a talented Data Warehouse Lead. As Data Warehouse Lead, you will work closely with data analysts, data scientists and other data consumers within the business to gather and populate data warehouse table structure which will be optimised for reporting.
The Data Warehouse Lead will be responsible for:
Partner with business and data analysts to design, develop and maintain data pipelines, data governance compliance, procedures, and tooling to support data warehousing.
Day-to-day support of the data warehouse and troubleshoots existing procedures and process.
Defines and promotes the departments best practices and design principles for data warehousing techniques and architecture.
Assists in the development of business intelligence, business data standards, and processes.
Guide the business in identifying any new data needs and deliver mechanisms for acquiring and reporting such information as well as addressing the actual needs.
Creates and supports the ETL to facilitate the accommodation of data into the warehouse.
On behalf of our rapidly expanding client based in Berlin, we are recruiting for a talented Data Warehouse Lead. As Data Warehouse Lead, you will work closely with data analysts, data scientists and other data consumers within the business to gather and populate data warehouse table structure which will be optimised for reporting.
The Data Warehouse Lead will be responsible for:
Partner with business and data analysts to design, develop and maintain data pipelines, data governance compliance, procedures, and tooling to support data warehousing.
Day-to-day support of the data warehouse and troubleshoots existing procedures and process.
Defines and promotes the departments best practices and design principles for data warehousing techniques and architecture.
Assists in the development of business intelligence, business data standards, and processes.
Guide the business in identifying any new data needs and deliver mechanisms for acquiring and reporting such information as well as addressing the actual needs.
Creates and supports the ETL to facilitate the accommodation of data into the warehouse.
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