(SQL/PLSQL/Hive) and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL)
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development, including the company Enterprise Data Warehouse.
Essential functions of the
and accuracy of all data contained within the Data Warehouse as well as al.
documentation in support of Epics. The company's Data Warehouse Monitoring and Support: Monitor data pipelines warehouse meets its SLA timelines for data availability and warehouse reliability. The company's Cloud Monitoring that all jobs ran successfully, and that the data warehouse is maintained according to standard. Collaboration: documentation in support of Epics. The company's Data Warehouse Monitoring and Support: Monitor data pipelines warehouse meets its SLA timelines for data availability and warehouse reliability. The company's Cloud Monitoring
that move data from various sources into a data warehouse or other storage systems Creating and optimizing
Define and design new systems Take care of data warehouse development Make essential technical and strategic
Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge of relational and Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge of relational and Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge of relational and
transform, and load data from various sources into data warehouses and data lakes.
data from various sources into a centralized data warehouse. Ensure data quality and consistency by implementing
data from various sources into a centralized data warehouse. Ensure data quality and consistency by implementing
a plus). Azure Data Lake, Data Factory, SQL Data Warehouse (a plus). Predictive data modelling (a plus)