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As a warehouse associate at Floor & Decor, you are the backbone of our retail location. If you are friendly, organized, hard-working and someone who thrives in a warehouse environment, Floor & Decor is the place for you.
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Whether your current position or job skill is a data entry clerk, administrative assistant, receptionist, warehouse or factory worker, driver, medical assistant, nurse or health care worker, call center or customer service representative or anyone who is looking for a part-time, remote, work from home job, this is an excellent position to supplement your income with great flexibility and zero prior experience needed.
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In production environmentsExceptional communication skills and the ability to inspire technical teamsBS or higher in Computer Science or related field (advanced degree preferred)Some experience preferred in:Robotics and autonomous systemsIndustrial automation and hardware interfaces (e.g., MODBUS, SECS/GEM)Warehouse Control Systems and Warehouse Management SystemsThis role offers the opportunity to make a significant impact on the future of retail technology at a global scale.
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This position will also manage the warehouse shipping/receiving team. Knowledge of pharmaceutical labeling/packaging equipment and warehouse operations. Senior Manager - Inspection & Packaging, Warehouse.
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But what else do we offer to that makes being a UPS Warehouse Worker such a great opportunity? Who exactly are UPS Warehouse Workers? Also known as Package Handlers, many of our Warehouse Workers load/unload packages in and out of UPS trailers or our signature brown trucks.
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Work Schedule: 4-5 days per week25 hours per week average Frito-Lay Warehouse/Material Handlers are responsible for a variety of warehouse duties. Work Schedule: 4-5 days per week25 hours per week average Frito-Lay Warehouse/Material Handlers are responsible for a variety of warehouse duties.
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The TPM will guide the new product launch of an innovative new warehouse automation program by overseeing end to end field testing of a suite of emerging HW/SW technologies in Amazon Fulfillment centers.
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Familiarity with: Cloud computing platforms (e.g., AWS, Azure, Google Cloud) Cloud data platforms (e.g., Snowflake, S3, Redshift, BigQuery) Cloud data services (e.g. dbt Cloud, Fivetran) Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with multidisciplinary teams and stakeholders.
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Even with climate controls, temperatures can vary between 60°F and 90°F in some parts of the warehouse; on hot days, temperatures can be over 90°F in the truck yard or inside trailers. Depending on the role or location, Amazon provides a $110 Zappos gift code towards the purchase of shoes, in order to have you prepared for your first day on the job.
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Technical background in following is a plus – Robotics, Automation Technology, Automated Warehouse / DC Systems, Mobile Robots / Perception / AI, Software Engineering, IT, Hardware Engineering, Industrial Controls.
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Proficient with AWS Big data services (Glue, Athena, Redshift, Lake formation, Lambda) Work on complex finance and supply chain data sources from Oracle EBS (E-Business Suite) and Agile PLM(Product Lifecycle Management) systems along with secondary sources like Coupa.
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Primary responsibilities include driving and unloading retail delivery trucks, using two handed trucks to wheel in half kegs and cases of beer, collecting redeemable products to be recycled at our warehouse and ensuring proper stock rotation at our accounts.
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In conjunction with the warehouse supervisor, manage the cycle count program, analyze results, and find root cause for discrepancies. 5+ years directly related strong experience in maintaining ERP router and master data, manufacturing planning, purchasing, and expediting material.
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You will meet with business owners to formulate key questions, leverage AR's vast Data Warehouse, lake and source transactional systems to extract and analyze relevant data, and present your findings and recommendations to management in an actionable way.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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warehouse job Title: data in Danvers, MA
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