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Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
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In this role you will be responsible for the automation and optimization of warehousing workflow and material processes (receiving, picking, deliveries, inventory control). This role will support future efforts to capture and use volumne metrics, SAP advanced warehousing functions and EWM transition, the integration of automated equipment into processes.
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Interaction with Procurement, A/P, Manufacturing/Warehousing sites, and vendors to ensure all data is captured for monthly accruals. Pactiv Evergreen Inc. (NASDAQ: PTVE) is a leading manufacturer and distributor of fresh foodservice and food merchandising products and fresh beverage cartons in North America and certain international markets.
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Strong understanding of data warehousing architecture, with experience in implementing and maintaining data lakes using tools like Snowflake, AWS Redshift, or Google BigQuery. Strong understanding of data warehousing architecture, with experience in implementing and maintaining data lakes using tools like Snowflake, AWS Redshift, or Google BigQuery.
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Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Proven experience in SQL, data modeling, data warehousing, and data analysis.
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Warehousing System) and database structures to support the EDI requirements. EDI Analyst Document customer requirements and internal business requirements to be used for EDI development. EDI testing using the internal business systems and support/training on overall EDI process.
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Define and promote the team's design principles and best practices for data warehousing architecture and techniques. We are seeking a dynamic Database Administrator I who will design and support database and table schemas for new and evolving data brought into the warehouse.
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Experience in one or more of the following standards and technologies desired: Accredited Standards Committee (ASC) X12, Business Enterprise Architecture, Data dictionaries, Data warehousing, Enterprise application integration, Metadata registry, Master Data Management (MDM), Relational Databases, Semantics, data retention, XML, including schema definitions (XSD) and transformations.
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Expertise in AWS data warehousing platforms, such as Amazon Redshift, as well as exposure to other platforms like Google BigQuery. As the steward of our data quality and data architecture, you will play a critical role in leveraging AWS technologies to optimize our data warehousing and data lakes, setting the stage for innovative uses of ML and AI across our platform.
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We specialize in assisting a diverse clientele with their logistics needs, ranging from warehousing services to transportation management and labor solutions. Join a leading full-service logistics provider dedicated to delivering excellence in warehousing, trucking, and supply chain solutions across the U.S. and Canada.
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IT expertise in Data Management / ETL / ELT / Data Warehousing. Expertise in architecting data conversion and migration activities. 3+ years ETL experience in Informatica Cloud IICS development and administration.
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We're seeking someone with a strong command of SQL and a minimum of three years' experience in data warehousing and data visualization. Bachelor's degree in Information Technology, Computer Science, or related field; relevant certifications (e.g., CompTIA Security+, Cisco CCNA) are advantageous.
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ODS offers state of the art publishing solutions through our customer-centric applications and services include electronic document delivery, web applications, high-speed digital printing (color and black & white), automated composition, offset printing, warehousing and fulfillment services.
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The Paylocity Data Practice is a cross-functional group comprised of Data Engineering and Data Warehousing, Data Science, Reporting, and Data Insights. Some of the tools we use are Snowflake, Python, Spark, AWS (Lambda, Kinesis, EMR, Glue, Managed Airflow, RDS, Redshift, DMS, etc.
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At least 8 years of experience managing and maintaining contact center knowledge management processes related to content analysis, document management, data capture, portal operations & maintenance, shared storage locations, workflow, and data warehousing.
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warehousing job in Lake Forest, IL
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