architecting and managing the AWS Data Lake and Warehouse to automating processes and ensuring data quality
architecting and managing the AWS Data Lake and Warehouse to automating processes and ensuring data quality
be designing, developing, and maintaining data warehouses and data lake solutions for clients. Qualifications:
load data from various sources into the data warehouse or data lake. Design and develop data models and as Azure Synapse Analytics (formerly SQL Data Warehouse). Experience with Azure data services such as
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built on the premise of growth as the future data warehouse. Work closely with Business Intelligence, Data cross-functional and Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations expert and drive evolution of Snowflake based Data Warehouse Solutions and workloads. Work across multiple expert and drive evolution of Snowflake based Data Warehouse Solutions and workloads. Work across multiple
built on the premise of growth as the future data warehouse. Work closely with Business Intelligence, Data cross-functional and Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations expert and drive evolution of Snowflake based Data Warehouse Solutions and workloads. Work across multiple expert and drive evolution of Snowflake based Data Warehouse Solutions and workloads. Work across multiple
technology
5-7 years' experience in building databases, warehouses, reporting and data integration solutions 6 -
and load data from various sources into data warehouses and data lakes. Monitor and troubleshoot ETL