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Hands on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka, as well as experience with data pipeline orchestration tools such as Apache Airflow, experience with Infrastructure as a Code tools such as Terraform.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data. Experience working with data management projects having experience in data analysis, data governance, data quality and lineage.
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The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscalers (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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They may assist with calculations for plat/map production and assist in use of source data, such as surveying data and notes, aerial photography, satellite data, or other maps to show topographical features, political boundaries, and other features.
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Demonstrated proficiency in turning big data and requirements into digestible data visualizations. and prior experience with data visualization tools such as Tableau, Power BI, Domo, etc.
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This position should have experience with PowerAutomate and with developing PowerApps and publishing reports in Power BI. This position should also have experience working with 3rd party forms/connectors to collect data and store the data in SharePoint, when authentication to SharePoint is not required.
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We are looking for an MDGO Data Governance Technical Data Steward with a track record of supporting enterprise data management tools and integration projects. To be successful in this role, the candidate would require a balance of product-centric technical expertise, and a deep knowledge of DG practices, which includes but not limited to metadata management, metamodeling, lineage documentation, data stewardship, and technical DQ processes.
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Call on and secure relationships with senior leadership in Epidemiology, Primary and Secondary Research, Medical Affairs, Value and Evidence, HEOR, Marketing, Brand Management, Product Management, Managed Markets, Market Access, Data Analytics, and other areas within organizations.
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Understanding of Trade Life Cycle (Pricing, Booking, Validation, Confirmation, Settlements, Accounting, Reporting , Events, Market Risk, Credit Risk, Market Data etc. & understanding of Trade Life Cycle (Pricing, Booking, Validation, Confirmation, Settlements, Accounting, Reporting , Events, Market Risk, Credit Risk, Market Data etc.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Experience with business intelligence or data visualization tools such as Oracle Analytics Cloud (OAC), Power BI, Tableau, Looker, etc. Interface with data experts across the OCI organization to understand lineage and ensure we're sourcing the most appropriate data.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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Manage Unanet CRM database for the Raleigh office (team resumes, project data, mailing lists, reports, etc. Collaborate on layout design, content development, and copy editing for a broad range of internal and external communications including award submittals, thought leadership pieces, project data sheets, resumes, and qualification packages.
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Our crew is using the latest data platforms to further the group’s data strategy to realize the true potential of data as an asset through utilizing data lakes, data virtualization, for use with advanced analytics, AI/ML. The crew also ensure the data is managed with strategic sourcing and data quality tooling.
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big data jobs Title: devops Company: Intuit in Raleigh, NC
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