(SQL/PLSQL/Hive) and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL) Qualifications and beneficial. Proven experience as a BI Developer for data warehouses Proven work experience as a SQL Developer The
(SQL/PLSQL/Hive) and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL)
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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.
a plus). Azure Data Lake, Data Factory, SQL Data Warehouse (a plus). Predictive data modelling (a plus)
solutions, including relational databases, data warehouses, data lakes, and NoSQL databases. Lead the
built on the premise of growth as the future data warehouse. Work closely with Business Intelligence, Data Data Engineering, cross-functional and Leadership teams to develop a warehouse using data modeling best 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