Manage code versioning and archival as required. ![]() Deploy data warehousing and analytics solutions from development, to test, to production environments following IT lifecycle procedures.Document technical data solutions for maintenance and support purposes.Work with end users to resolve data errors and functional bugs.Build data validation reports and scripts to assure data accuracy.Develop test cases for data validation and end user solution testing.Develop end user analytics solutions using business intelligence tools. ![]() Engage and collaborate with IT architects, database administrators and security engineers to configure the data platform(s) and databases to safely meet the performance expectations.Optimize the ETL data pipelines code and configure data interface tools and APIs as needed.Configure the operational and analytical database(s) to host data, and develop data marts to meet the business requirements.Develop ETL and data automation code to extract source data, transform to map to the target model and/or cleanse the data, and load into a data warehouse or analytical model.Perform data profiling to support the proposed data solutions.Design master and reference data models and solutions to standardize data.Generate data models to support data needs.Capture data and analytics user stories and requirements, and translate into technical design requirements. ![]()
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