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Agile, SaFE, AWS PaaS (EC2, ELM, Autoscaling, Lambda, API-Gateway, CloudFormation), Azure PaaS (App Service, Service Fabric, Functions, Logic Apps, SQLDB, DocumentDB, SQL Data Warehouse, Table Storage, Redis Cache, AzureAD, Notification Hubs, Event Hubs, IoT Hub, Stream Analytics, Machine Learning, Service Bus, Search, Cloud Services, Application Insights, CDN, Media Services.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Warehouse Management Systems (WMS) knowledge a Must. Expert level Microsoft Office software & Excel skills a Must. Comfortable performing analytics with large data set, including optimization modeling, regression and data mining.
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Commercial cloud (Azure) based data platform that can serve both Care Delivery Organization (CDO) level data warehouse / data mart needs as well as to feed, transform and store clinical and administrative data for the Optum Care Enterprise at a national level.
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Understanding of database internals, large-scale data processing, and data warehouse design. Database Query Engine (QA), Automation Infrastructure and Quality Engineering (AIQ), Cloud Platform & Deployment Engineering, Developer Productivity Engineering (DPE.
InternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Practical experience of developing business intelligence or data engineering. Strong expertise with data lake, data warehouse and data modelling. 6 - 8 years of working experience as Azure Data Lake ADLS Engineering.
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Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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Tooling and infrastructure automation for engineering productivity. Required Coursework: Algorithms, Data Structures, Operating Systems, Knowledge of data structures and algorithms.
InternExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in data engineering, with a focus on Data Vault 2.0 methodology preferred. We are seeking a Data Engineer II to join our Data Warehouse team. This role will report to the Director of IT Reporting and Analytics and be involved in the design and implementation of our centralized data warehouse for reporting and analytics across all applications within the company.
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Our talented workforce of over 15,000 employees provides a wide array of specialty services including construction, engineering, underground facility locating, fulfillment, and program management.
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Build the future of data. Experience with DevOps (Jenkins, Ansible, Terraform) and Containerization (Kuberneters, Docker) a plus. Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud Platform in particular.
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Platform engineering includes Content Management Systems, UGC Enforcement Platform, E-commerce, Video Distribution Technology, Registration, Advertising Systems and Data Warehouse & Reporting.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Good knowledge of popular database and data warehouse technologies from Snowflake Microsoft Azure SQL Data Warehouse. Good appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques.
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2+ years data engineering experience. Build, manage, and enhance an analytics data warehouse that will enable the analytics team to quickly provision reports for business users.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience working in a data warehouse environment with diverse data sources and visualization tools like Tableau and Einstein Analytics. As part of the Finance and Strategy (F&S) Operations team, Senior Analyst role will develop and support operational reporting, data engineering work and Tableau visualization tool.
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Experience building automation frameworks and infrastructure to improve efficient of development workflow. Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more.
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