Azure Migration Data Lake
Role and responsibility
Working on projects using Azure technologies such as Data Lake, Data Bricks, SQL DW, and Power BI to support all business streams.
Responsible for designing, developing, and implementing Big Data platforms using Azure Cloud architecture with structured and unstructured data sources.
Connecting and automating data sources, along with building visualizations.
Configuring, connecting, and setting up the infrastructure.
Developing, maintaining, and testing existing solutions.
Utilize your strong knowledge of enterprise data warehouse design, development, and administration to build out analytic processes (OLAP/OLTP) in SQL Server Data Warehouse.
Designing, developing, and deploying ETL and ELT solutions which will help the analytics team scale the SQL Server Data Warehouse, with the intention of improving run time efficiency, data aggregation processes, among other areas of SQL Server Extended Data Warehouse performance.
Azure Cloud technologies e.g. Azure Data Factory, Azure Function, Azure SQL DW, HDInsight, DataBricks, Azure Analysis Service (AAS)
This role will be responsible for managing Client s data pipeline, working with the functional data owners to establish the prioritization for new and existing data sets and driving the ingestion of large data sets into the Azure data lake. The specialist will also be responsible for maintaining the quality of the data within the lake, supporting data use and advanced analytics across the organization.