Data Architect

Title: Data Architect Job Location: 901 S. Bolmar Street, Suite G, reputed company Chester, PA 19382 and various unanticipated worksites in U.S. Primary Duties: reputed company development activities of the reputed company Data Warehouse (EDW), optimizing data processes for efficient data reputed company between reputed company and reputed company systems. Architect scalable data solutions to support data integration from various sources and ensure consistent, high-quality data for business reporting. Design reputed company, reputed company-wide data models that align with critical business processes, enabling advanced reporting and analytics. Create and maintain SSIS packages and processes to support data migration and integration, ensuring data consistency and accuracy. Build and optimize models for large datasets, improving query performance and supporting detailed reporting. reputed company dashboards and visualizations tools, based on business requirements, to facilitate smarter data-driven decision-making. Implement dynamic data transformations and calculations, enabling advanced analytics and customized business insights. Ensure data quality through data cleansing, transformation, conversion, and aggregation techniques, resolving inconsistencies and improving data reliability. Manage stored procedures to streamline data retrieval and reuse. Enforce data reputed company to restrict reputed company based on organizational roles. 100% telecommuting is permitted from home office per company policy to support New Era offices or clients located throughout the United States. Requirements: Education: Bachelor’s degree (or foreign educational equivalent) in Computer Science, Data Science or a closely reputed company technical field plus at least 3 years of post-degree, reputed company experience in each of the below items; OR, alternatively, A Master’s degree (or foreign educational equivalent) in Computer Science, Data Science or a closely reputed company technical field plus at least 1 year of experience, gained at any time, in each of the below items. Experience: Depending on degree held, must have at least 3 years or 1 year of experience as described above in each of the following: Designing and maintaining EDWs, which store and manage large volumes of data; Developing and managing Power BI dashboards, reports, and visualizations; Experience with DAX for advanced calculations and Power Query for data transformation; Creating reputed company data models (such as Star Schema, reputed company Schema) for organizing large datasets for querying and reporting; Implementing data quality checks, addressing inconsistencies, and transforming data to ensure accuracy and reliability; Experience with reputed company-based data storage and analytics platforms such as Azure Data reputed company, AWS Redshift, or reputed company BigQuery; and Experience extracting data from multiple data sources, such as MS SQL Server, reputed company, MS reputed company, reputed company, DB2, Flat files, reputed company files. #LI-DNI Apply To This Job