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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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In this role, you will be responsible for designing, implementing, and maintaining a robust Data Warehouse on the Google Cloud Platform (GCP) with a primary focus on Google BigQuery. LevelTen Energy is seeking an experienced Data Warehouse Engineer to join our dynamic team.
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Production experience working with dbt and designing and implementing Data Warehouse solutions. Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management (data pipeline orchestration, airflow, dbt core, gitlab scheduler, prefect.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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At least 3 years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure using services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services or any of the Azure Databricks/Synapse/Fabric.
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Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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Programming, application extensibility, security & performance, deployments, integrations with external systems, knowledge of the AOT, objects and structures, Data Management Framework (aka DIXF), Azure DevOps and Lifecycle Services (LCS), Azure logic apps integration.
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10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols.
$133,200 - $249,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Manage a cloud-based data warehouse in Snowflake. Build and enhance beautifully crafted data warehouse models with dbt. To accomplish your mission, you will use dbt to deliver well-defined, transformed, tested, documented, and code-reviewed data sets to your data consumers.
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Integrated process on S4/ HANA (Ariba, extended Warehouse Management, Master Data Governance) Internal Plant and Warehouse Automation using VLMs, telemetry, AMRS & AGVs, robotics, vision systems.
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Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
$157,700 - $213,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in at least two of the following areas: SAP ECC/ S4 HANA Data Archiving & Information Lifecycle Management tools, Data Retention Tool (DaRT), Document Archiving, Print List Archiving, SAP Legacy decommissioning using Dart, SAP ILM software, SAP ILM Retention Warehouse (system decommissioning and reporting) or OpenText.
$124,950 - $208,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience working in eCommerce analytics with proven ability to deliver analysis with clear takeaways and recommendationsProven, advanced ability to deliver insights from Adobe AnalyticsExperience working with website performance tools such as ContentSquare (heat/journey- mapping) and Optimizely (CRO)Familiarity with SQL, Tableau, and Customer Data Platforms preferredExperience working with a cloud-based data warehouse to access data (Snowflake, etc.
$96,358 - $144,538 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team is responsible for developing and supporting Data Services, Data Warehouse, Analytics, MDM, Data Quality and Sophisticated Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience.
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data warehouse jobs in Bellevue, WA
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