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Lift objects that weigh anywhere between 15 pounds and 50 pounds (i.e. anything from a bowling ball to a twin-size mattress) with or without a reasonable accommodation The Frito-Lay Warehouse team comes to us with a wide variety of experiences, usually after honing their skills with prior success in warehouses but also other fast-paced environments.
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Containerization (Kubernetes - AWS: ECS, EKS - GCP: GKE)Amazon AWS cloud technologies: S3, Redis, RDS, ECS, SQS/SNS, Kinesis, Terraform, and Localstack. Containerization (Kubernetes - AWS: ECS, EKS - GCP: GKE)Amazon AWS cloud technologies: S3, Redis, RDS, ECS, SQS/SNS, Kinesis, Terraform, and Localstack.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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3+ years' experience with Amazon Web Services (AWS), such as ACM, PCA, Secret Manager, IAM or Lambda. Using frameworks, technologies, DevOps/DevSecOps practices (for e.g. designing and building Jenkins, CI/CD pipeline, and infrastructure-as-code tools (for e.g. Terraform and Terragrunt.
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This developer will provide support in all aspects of data movement for a data warehouse environment (On-Prem to/from cloud) with a strong ETL focus on building and maintaining the Enterprise Operational Data Store (ODS) built on the Snowflake Data Cloud.
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Demonstrated experience in implementing and supporting enterprise business intelligent platforms (Tableau, Microsoft Power BI, and/or Amazon QuickSight). 15 years of implementation and operational sustainment of the enterprise services hosted on-premise as well as within cloud-based IaaS, PaaS and/or SaaS environment (Microsoft Azure and/or Amazon Web Services) as well as general on-premise IT infrastructure and mobile solutions (network, endpoint, compute, IoT), real-time monitoring and related technologies.
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In-depth knowledge of eCommerce platforms and tools, such as Shopify, WooCommerce, or Amazon FBA. Strong communication and interpersonal skills. In-depth knowledge of eCommerce platforms and tools, such as Shopify, WooCommerce, or Amazon FBA. Strong communication and interpersonal skills.
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The BI Analyst will assist CapMetro in making informed business decisions that enhance service quality and sustainability, use business intelligence analytical tools and machine learning techniques to leverage the warehouse of datasets, mine for information and statistics, create performance metric dashboards, and create user-friendly BI interface applications to query databases.
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The Amazon Robotics Global Edge Compute team owns a cutting-edge initiative at the forefront of Amazon's robotics and automation efforts. We are building a groundbreaking platform to manage 1.5 million devices across 4,000 locations worldwide, enabling Amazon to revolutionize its logistics and fulfillment operations.
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Work with ABAP coding language and the business warehouse team to develop the technical solution proposed, work through the identified issues, and document the changes. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
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Description :NetSuite Sales Solutions Consultant – Manufacturing and Supply ChainWe are seeking an energetic individual to provide pre-sales support for our NetSuite Manufacturing and Supply Chain solutions, which include Inventory, Warehouse Management and Manufacturing.
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Perform penetration testing complex proprietary software and hardware for AWS Gen AI services like Bedrock, Amazon Q, and Code Whisperer. Manually audit the source code of web services and software authored in house by Amazon.
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Expert knowledge of system configuration and processes in SAP S/4 HANA SCM Modules - Supply Chain Planning & execution, Inventory Management (IM), Warehouse Management (WM), Transportation Management (TM.
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Solid understanding of the infrastructure services in Amazon Web Services (AWS) and Google Cloud (GCP) Expertise in Microsoft Excel for financial forecasting, expense trending and budgeting and in using Microsoft Power BI for Data Analytics.
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