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
as finance, sales, marketing, engineering and warehouse management Excellent communications skills, with
from various sources into a centralized data warehouse or data lake. Implement data models, schemas, data systems, including database servers, data warehouses, and data processing frameworks. Troubleshoot
building scalable ETL systems for a big data warehouse to implement robust and trustworthy data to support understanding in designing and developing data warehouses Proficient in Python or R or willingness to learn
responsible for developing high quality data warehouse solutions in an Azure environment using Synapse ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and Dimensional
and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL)
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that move data from various sources into a data warehouse or other storage systems Creating and optimizing
architecting and managing the AWS Data Lake and Warehouse to automating processes and ensuring data quality
application technical support on all Retail and Warehouse application s on SQL databases. Troubleshooting
solutions, including relational databases, data warehouses, data lakes, and MS SQL databases Lead the implementation