The candidate is responsible from Warehouse design to ETL (Extract Transform Load) development till MIS various sources. Transform and load data into data warehouses or data marts for BI purposes. Create interactive handling heterogeneous data sources. Experience with Warehouse modeling, analytics and ETL (Extract, Transform
Functional design of data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate
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
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
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
with third-party service providers (couriers, warehouse, other business units). • Budget for e-commerce
ecosystem. Maintain and improve internal data warehouse functions, processes and data sources. Understand
solutions, including relational databases, data warehouses, data lakes, and NoSQL databases. Lead the implementation