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We help our customers architect solutions for the cloud, advance data engineering, and integrate data science infrastructure. Experience in Data Science and Data Science Engineering.
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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Founded in 2010, Ascend Fundraising Solutions online and in-venue fundraising platform and solutions have been used by some of the world’s most notable non-profit organizations such as United Way, Vancouver Canucks foundation, Canadian Olympic Foundation, Canadian Institute for the Blind, Kansas City Chiefs foundation, Boston Red Sox foundation, Big Brothers Big Sisters, Thunder Bay Regional Health Science Foundation, Arizona Humane Society and many others.
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5+ years of experience in data engineering with Databricks and Spark. We are looking for a data engineer who has strong experience in building scalable and reliable data pipelines using Databricks and Spark.
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Good knowledge with Azure Databricks, Azure Data Factory, ADLS. A strong grasp of fundamental concepts of Linux (Redhat), data engineering, network, warehouses, operational databases, messaging, and data management.
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Bachelor's degree in Computer Science, Data Engineering, or a related field. Knowledge of data engineering & computing services within Azure's ecosystem (ADF, Gen2 Datalake, Azure Data Fabric & Databricks integrations) would be highly valued.
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Familiarity with Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics for big data and analytics solutions. Experienced on system integration and data migration within Dynamics 365.
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Strong knowledge of Microsoft Azure services, including Azure App Service, Azure Functions, Azure Logic Apps, Azure Data Factory, and Azure SQL Database. Bachelor’s degree in computer science, Information technology or a related field.
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Additional responsibilities may include the administration, sustainment, and implementation of the OPG Master Data Management platform TIBCO EBX, integration with Microsoft Business Intelligence data warehouse IDB and data analysis.
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Be an integral part of a leading-edge team leveraging an innovative mix of traditional investigative techniques, data analytics, and open source intelligence analysis to investigate and prosecute complex cases of violations under the Acts.
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Lead or assist in the development, implementation and improvement of model risk management framework, Data governance framework and AI risk management and procedures to ensure effective risk controls and mitigation.
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This role requires a combination of skills across business analysis, FX domain expertise, big data technical architecture, project management, people management, stake holder management and driving consumer adoption.
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Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Experience with data cloud platforms and services like BigQuery, Snowflake, Redshift, or similar.
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Headquartered in Boston, with 3200+ data science professionals across 11 global offices. Collaborate with Business Data Analysts to design and model Chatbot features. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
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Strong experience with SAN, NAS design, implementation, and large data center environments, preferably DELL EMC. Experience with implementing/supporting/troubleshooting DELL EMC Data Protection and related technologies such as Data Domain.
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data science jobs Title: project Company: Nike Inc in Toronto, On, Canada
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