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Assist and speak into the data strategy development, data governance and data management in addition to the availability, usability, integrity, retention, and security of the information/data employed throughout the organization.
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5+ years of experience as a Project Architect working on Data Center, Industrial, Warehouse Distribution, and Office projects. Through our values – commitment, creativity, environmental stewardship, fun, integrity, ownership, sharing, teamwork – we elevate the human experience through design, together.
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Knowledge of Data Warehouses/Lakehouse architectures, Master Data Management, Data Quality Management, Data Integration, and Data Warehouse architecture. Data Integration: Integrate data from various source systems into Informatica's SAS MDM platform through IDMC, performing data profiling, cleansing, and transformation to ensure data quality and integrity.
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Execute and track KPI's so you can manage and achieve our main deliverable of Data Integrity. Assist the Logistics Manager with the planning and execution of the annual Physical Inventory as well as the Strategy and Tactics for both the Plant and the Warehouse in Humble.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Ensure data quality, integrity, and consistency within the data warehouse environment. Optimize SQL queries and processes to extract, transform, and load (ETL) data into the data warehouse efficiently.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Work cross-functionally with the Marketing Operations and Data teams to continuously improve the omni-channel experience for our customers and selling organization. The ability to competently perform all the essential duties of the position, with or without reasonable accommodation, demonstrated commitment to effective customer service delivery, integrity, and the ability to work productively as a member of a team or work group are basic requirements of all positions at Rexel USA.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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This individual will be responsible for defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Rich experience with dbt modeling, making you the linchpin of our data infrastructure's integrity. A nuanced understanding of database fundamentals, ensuring data integrity, speed, and reliability.
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The Technician, Warehouse Inventory Control is responsible for the accuracy and integrity of the warehouses physical inventory, including location, and the accuracy of the inventory assets represented within the ERP system.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Integration and ETL: Build and maintain ETL processes to ingest, transform, and load data from various sources into our data warehouse and data lake, ensuring data quality and integrity throughout the process.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Maintains a data warehouse of institutional financial data used in dashboards. Develop methods for gathering, tracking, and maintaining information; facilitate institutional research activities in the management, analysis, interpretation, and reporting of various data and information used internally in institutional financial planning, including those associated with student success, enrollment forecasting, and institutional effectiveness at all levels.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We’re seeking a Data Engineer for our client, a global biotech company with headquarters in San Diego, CA. Data Engineer needs advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), familiarity with a variety of databases, and DBT (data build tool) Snowflake Data Warehouse.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a Senior Data Engineer, you'll work with database engineers to design, develop and maintain the infrastructure of data within the data warehouse, including setting the ETL (extract, transform, load) processes, bringing in new data sources, modifying existing data sources, making sure data is clean, complete and consumable, as well as designing data models within the data warehouse.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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2+ years of analytical experience with an emphasis on warehouse, fulfillment center, logistics or transportation. Demonstrate the company s core values of respect, honesty, integrity, diversity, inclusion and safety.
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Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management. Partner closely with peers in Product, Engineering, Enterprise Technology, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning.
ExpandApply NowActive JobUpdated 6 days ago
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