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Amazon Delivery Station Warehouse Associate Job Overview You’ll be part of the dedicated Amazon team at the delivery station – the last stop before we deliver smiles to customers.
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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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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.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Ability to understand and execute all requirements of Vendor Compliance for Major Department Stores and Discounters, such as, Macy’s, Nordstrom, Dillard’s, Wal-Mart, Target Stores, Belk, TJX , Marshall’s, Walgreens, Joanna, Amazon etc.
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Experience with Amazon Web Services, Cloudera Data Warehouse, Microsoft Azure, or similar. General familiarity with one or more of: natural language processing, transformer architectures, machine vision (object detection, facial recognition), one-shot learning, reinforcement.
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Experience with public cloud service providers (e.g. Amazon AWS, Google GCP, Microsoft Azure) and modern deployment technologies (e.g. CI/CD, Kubernetes, docker). Data Engineering: You will contribute to the team by developing our next-generation data storage and telemetry pipeline that collects and ingests terabytes of data per hour into a multi-petabyte data warehouse that powers our observability systems.
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Family planning support, including fertility, adoption, and surrogacy assistance. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity.
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Experience with a modern high-level programming language (e.g. Java, Golang, Javascript, Python, etc.) Palantir is committed to promoting a culture of diversity, equity, and inclusion and is proud to be an Equal Employment Opportunity and Affirmative Action employer.
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Contribute to the improvement, health, and maintainability of the end-to-end lifecycle of our data pipelines, which are used to provide timely, complete, and accurate information for defenders. Experience with complex architectures and codebases (e.g. SOA or microservices.
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2 years of experience working with ETL/ELT tools, including Informatica Suit. 2 years of experience working with cloud infrastructure services such as Amazon Web Services, Google Cloud or Azure.
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Communicate the FBA shipment requirements to the freight forwarder that is tasked with prepping Amazon PO’s for shipment to Amazon warehouse. Warehouse Associate/Shipping and Receiving , you will play a crucial role in the efficient operation of our warehouse, ensuring that inbound shipments are received accurately, inventory is organized effectively, and outgoing shipments are prepared for timely delivery to Amazon and other warehouse locations.
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Cloud-based data lake and warehouse solutions, such as working within Azure, Google BigQuery, Amazon Redshift or Snowflake. Cloud-based data lake and warehouse solutions, such as working within Azure, Google BigQuery, Amazon Redshift or Snowflake.
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Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions. Familiarity with ETL/ELT tools such as Ab-Initio, DataStage, or Informatica. Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL.
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Must have working knowledge of Application Software (internal & external facing), Storage Systems (SAN, NAS, and Data Warehouse), Databases (SQL), OS (Windows/Linux), Client-Server Systems, OSI, TCP/IP, LAN/WAN, Wireless Networks, Cloud Computing Systems, Microsoft Azure, Amazon Web Services (AWS), Active Directory, Microsoft Office 365, Virtualization, etc.
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Build Enterprise Data warehouse in different DB platforms such as Oracle, IBM Netezza, Amazon Redshift. Plan and execute large scale data migration from legacy databases (IBM Netezza) to Cloud DBs (Amazon Redshift) and Cloud Datalakes (AWS S3), implement the data compression mechanism for optimal storage of data to reduce the storage cost.
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