The ideal candidate is a team player who will be responsible for working with company data in various business areas. Specific responsibilities include reporting metrics, analyzing methodologies, suggesting operation improvements, and building proposal evaluations in a cross-functional environment.
requirements
* collect, analyse, and document all business and functional requirements for the data lake infrastructure.
* support advancements in business analytics to ensure the system meets evolving business needs.
* profile new and existing data sources to define and refine the data warehouse model.
* collaborate with architects and stakeholders to define data workflows and strategies.
* drive process improvements to optimize data handling and performance.
* perform deep data analysis to ensure accuracy, consistency, and quality of data.
* work with qa resources on test planning to ensure quality and consistency within the data lake and data warehouse.
* gather data governance requirements and ensure implementation of data governance practices within the data lake infrastructure.
* collaborate with functional users to gather and define metadata for the data lake.
* key skills:
* azure data factory, synapse, power bi, data lake, sql, kql, azure security, data integration, oracle ebs, cloud computing, data visualization, ci/cd pipelines, communication skills, problem-solving.
soft skills:
* excellent analytical and problem-solving skills.
* strong verbal and written communication abilities.