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Experienced with traditional and modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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Ex WALMART Google Cloud Platform Data Engineer - Retail, Google Cloud Platform, SCALA, HIVE, AIRFLOW
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Ex WALMART Google Cloud Platform Data Engineer- Retail, Google Cloud Platform, SCALA, HIVE, AIRFLOW. 4 + years of experience in Google Cloud Platform, GCS, Data proc, BIG Query.
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Use enterprise applications like Salesforce, Smartsheets, Box, Autodesk Construction Cloud, and Splunk to collect and analyze product and business process data. Companies around the worldâincluding Google, Netflix, Uber, Walmart, Stanford Health Care, and countless othersâhave already designed our products into 75M square feet of buildings.
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To accelerate our clients' transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design - with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
$63,200 - $169,800 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with multiple data visualization tools (i.e. Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI etc.) Use of coding languages like SQL, Python, R and others to run data analyses and develop models.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Python, Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL.
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Experience working with cloud data engineering stacks (specifically Azure) and tools (Microsoft Fabric, Data Lake, Synapse, Azure Data Factory, Databricks, Informatica, etc.
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Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud. Technical knowledge in some of the following domains in a cloud or on-premise context: routing/switching, stateful or next gen firewalls (NGFW), distributed denial of service (DDoS) mitigation, web application firewalls, intrusion detection / prevention systems (IDS/IPS), network segregation, security information and event management (SIEM), Container and Orchestration technologies, Infrastructure as Code, and other threat and vulnerability management capabilities.
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Prior experience must include two (2) years of the following: cloud platforms (Azure Databricks and/or Google Big Query) to accurately implement analytical/statistical techniques on centralized data; developing ETL automation solutions using Alteryx and data visualization solutions using Tableau, PowerBI; project management, resource allocation, team management and client relationship management; handling client engagement through “on-site offshore” model.
$131,040 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience understanding, utilizing, and employing syndicated data, customer card/POS data, and panel data to achieve internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC.
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Leadership; Social Media; Sales Channel Development; Conversion Rate; Marketing Campaigns; Structured Query Language (SQL); Digital Advertising; Key Performance Indicators (KPI); Branding; Demand Generation; Media Buying; Marketing Strategies; Product Commercialization; Channels Strategy; Market Segmentation; Customer Insights; Alteryx; Customer Data; Microsoft Office; Strategy Development; Google Analytics; Tableau; Microsoft Power BI; Customer Engagement; Marketing Insights.
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Mail Processor – Performs a variety of functions to accomplish the processing of mail. Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers.
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Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Harnessing the power of data science, we at Walmart Luminate build Mobile applications & the backend technology that enable brands to have access to rich customer insights to fuel smarter decision making to better serve customers.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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6+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.
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Drive analytics-driven insights: Harness SAP Analytics Cloud and Power BI to craft compelling storytelling tools, unlocking actionable intelligence from data streams. Shown experience with data analytics, particularly using SAP Microsoft Power BI with knowledge of SQL databases and Azure Data Factory.
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