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Amazon Fulfillment Center Warehouse Associate Shifts: Day, Night, Weekend Location: Kansas City, KSJob opportunities vary by location. Hourly pay rate: Up to $ Job Overview You’ll be part of the Amazon warehouse team that gets orders ready for customers relying on Amazon services.
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Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake). Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Amazon Fulfillment Center Warehouse AssociateJob OverviewYou'll be part of the Amazon warehouse team that gets orders ready for customers relying on Amazon services.
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If you have a disability and need an accommodation during the application and hiring process, including support for the New Hire Event, or need to initiate a request prior to starting your Day 1, please visit Equal Employment Amazon is committed to a diverse and inclusive workplace.
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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. What it's like at an Amazon Fulfillment Center.
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You'll also need to be able to:Lift up to 49 poundsPush utility carts up to 60 poundsStand, walk, push, pull, squat, bend, and reach during shiftsUse carts, dollies, hand trucks, and other gear to move items aroundGo up and down stairs (where applicable)Work at a height of up to 40 feet on a mezzanine (where applicable)Adhere to strict safety, quality, and fulfillment production standardsWhat it's like at an Amazon Fulfillment CenterSafety.
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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 and location, you’ll learn how to use the latest Amazon technology – including handheld devices and robotics.
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You can reach us by phone at , Monday through Friday, between 6 a.m. and 4 p.m. PT. Equal Employment Amazon is committed to a diverse and inclusive workplace. Why You’ll Love Amazon We have jobs that fit any lifestyle, state-of-the-art workplaces, teams that support and listen to our associates, and company-driven initiatives and benefits to help support your goals.
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Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Examples of our retail partners include Bauhaus, OBI, ICA, Bunnings, Coop, Walmart, Amazon, REI, Bass Pro Shops, Home Depot, Lowe's, Canadian Tire, Dick's Sporting Goods, Academy Sports, Target Stores, CVS, Costco, Sam's Club and Bed Bath & Beyond.
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering. Experience with Google Cloud Platform (GCP) and/or Amazon Web Services (AWS.
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We can be found in mass retailers like Target and Amazon to your local mom-and-pop baby shop to specialty retailers like Pottery Barn Kids and Crate and Barrel. + Collaborate with Warehouse team to ensure set is designed and built in accordance with photo shoot timelines.
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Expertise with Azure & Databricks in the Data lifecycle & AI domain –Data Migration, Data Transformation, Data Modernization, Modern Data Warehouse, Analytics, Azure ML, etc. Prior experience with Analytics and BI tools like Qlik, and PowerBI for reporting and streaming or messaging technologies like Kafka, Amazon Kinesis, or SNS.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio) Hands on experience with Amazon Web Services (AWS) based solutions such as Lambda, Dynamo dB, Snowflake and S3.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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