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Reporting to the Data Engineering Manager, the Sr Data Engineer is a software engineer responsible for leading the technical direction of a delivery team. 10+ years of experience in data engineering or software engineering, and a proven track record of leading successful data initiatives in large organizations.
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ML | AI | Machine Learning | DevOps | Data & Analytics | Infrastructure | CI/CD | Terraform | Gitlab | Azure Devops | AWS | Azure | DataBricks | Ansible | Apache Spark | Kafka | Kubernetes | Docker | Linux.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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OPIS enables customers to buy and sell energy commodities with confidence with multi-platform access to accurate data, real-time news, powerful software and educational events. Collect and organize carbon and emissions-related statistics inclusive of Energy, Power, and Gas data sets.
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Design and Implement loosely coupled microservices that are API-driven using Python,Django,and gRPC with protocol buffers, as well as event-driven microservices using Kafka and Apache spark for backend data processing.
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Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
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Analyze and support the end of day processes including market data retrieval, fixings and trade life cycle events in Openlink Endur. Analyzing and supporting the end of day processes including market data retrieval, fixings and trade life cycle events in Openlink Endur; and.
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Familiarity with discipline-specific design software (i.e., MicroStation, AutoCAD, Civil 3D, ArcGIS, InRoads, Geopak, GeoSlope, ANSYS, STADD, HEC-RAS, HEC-HMS). Under general supervision, assist with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, geotechnical data, and other matrices for project development, design, and construction.
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Bachelor's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 10+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
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Hands-on use, data entry and navigation of Pattern’s general ledger, and reporting software (D365, Hyperion (Oracle), and Power BI). Reporting software (Microsoft D365, SAP, Oracle, and Power BI.
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Patent prosecution in either electrical engineering or software-related technologies; and/orii. machine learning/artificial intelligence (in addition to data science) and hardware security.
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The Desktop Automated Software Delivery Project is focused on expanding software titles to the application catalog in Software Center and the Service Catalog, data synchronization with ServiceNow, and further automating software delivery for our growing customer base.
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Analyze construction quality-related data from a variety of sources including audit logs, nonconformance logs, contract review logs, audits conducted by IQA, PHMSA, and similar data. Assist in reviewing Supply Chain Vendor Data Documentation.
$51.11 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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3+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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data software jobs Company: Adobe in Houston, TX
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