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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Data visualization technologies may include Tableau, Power BI, MS Excel, Google Analytics. As a Vice President, Data Science Lead for Finance and Actuarial, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform financial and actuarial processes by building state-of-the-art actuarial, financial, and behavioral models.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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This job will include working and gaining expertise in the following areas: IP Protocol (HTTP/HTTPS), VMware, Cloud Computing, Big Data, Linux OS, PostgreSQL Database, Digital Reef Proprietary Software and Grid Technology.
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Experience with big data analytics, preferably in cloud technologies such as Snowflake, AWS, GCP, and Azure. 2+ years of experience in developing analytics solutions in a cloud environment using modern data science tools such as AWS, Azure, or GCP.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Seeking a VP with expertise in computational chemistry and data science, ready to enhance and expand a state-of-the-art computational platform. Oversee the growth and management of the computational chemistry and data science teams, fostering a cohesive environment across US and China operations.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Data Management – Data conversion, Master data management and Governance. 2+ full lifecycle implementations (all phases) leading a package implementation with Microsoft Dynamics Platform – Finance & Operations (F&O), Supply Chain Management (SCM), Mobile app (PowerApps), Detaverse, Microservices, System integration.
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This role requires a seasoned professional with expertise in Databricks on AWS, Terraform, and a strong background in HighSpark, Python, and SQL. The ideal candidate will have experience in data lakes, data warehouses, and optimizing queries to minimize costs.
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The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters maintains and updates a global MNCAH database which is a key source for country- and regional-level MNCAH data.
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Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Gathers data from other functional areas and follows standards for drafting construction plan(s) and reviews to ensure compliance with CADD data standards and MnDOT’s design standards. Note: A Two year Civil or Construction Technology Degree or the following four-year degrees: Architectural, Civil or Mechanical Engineering; Land Surveying / Geomatics; or equivalent may substitute for one year of experience.
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The Senior Manager, HEOR will spearhead the development and execution of HEOR and real-world evidence (RWE) plans, generating data that showcases the economic and humanistic value of Axsome's products.
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Our team provides Data, Reporting and Analytics solutions on top of a big data platform, working closely with peers from the business team, as well as other engineering teams. help us build state of the art solutions that underpin GCRG using cutting edge technologies like Scala, Databricks, Java, Azure Data Lake, Apache Spark, Spring Boot, ReactJS, Kubernetes, Python, Postgres etc.
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big data jobs Title: data administrator Company: Cognizant Technology Solutions in New York, NY
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