... policies and specifically around Master Data Management and Data Quality, Building data warehouses and data lakes using tools like Azure Data Factory, and insights into Data Science and Data Analytics use cases within the ...
... to determine data quality and data integrity Rigorously test data infrastructure components to comply with ... an emphasis around data integrity and data quality Familiarity with data streaming and or event-driven data pipelines will be considered an ...
... business requirements into data needs, defining data models and setting standards for data providers. Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a ... as a Big Data Analyst and be a part ...
... and maintaining robust data models, integrating data sources, and building scalable ETL processes to support high-quality, real-time reporting. The role ... testing to validate data accuracy, performance, and overall quality of BI solutions, identifying and ...
... Design, build, and validate data transformation pipelines to create data models ● Document our data models, logic, and the raw data itself ● Perform internal code & data reviews ● Monitor our data and solve data quality issues ● Lead initiatives to ...
... met Implement secure and auditable data processes to ensure data integrity Troubleshoot any data-related issues and strive to improve the quality of data systems REQUIREMENTS Proven experience as a Data Engineer or similar role for ...
... closely support stakeholders in making data-driven decisions work with Marketing ... harness large-scale, real-time data from various sources, analyze it ... strong understanding of real-time data: ability to request and handle data from both backend and frontend ...
... documenting requirements for building high quality and impactful data products. Reconcile data issues and alerts between various ...
... planning, executing, and documenting the data migration process, ensuring high standards of data quality and alignment with best practices. Responsibilities Develop end-to-end data migration solutions using designated tools ...
... and Methodologies : Strong understanding of data warehousing and distributed data systems. Knowledge of data serialization formats (e.g., JSON, XML, YAML). Experience with data governance, data quality, and workflow management. Soft Skills ...