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Exhibit familiarity with Real-World Evidence (RWE) databases including healthcare claims, charge data master, Medicare, and Electronic Medical Records (EMR), as well as clinical trial data.
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Development and integration of DevOps related tool chain across Operations and Development organizations like TFS, Azure DevOps Service, ARM Templates, Visual Studio, GitHub and Data protection & privacy knowledge.
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Experience using data visualization tools such as Microsoft Power BI, Tableau, and Qlik to develop automated dashboard to visualize and analyze large amounts of data. Experience using Geographic Information Systems such as ArcGIS/ArcGIS Pro and Google Earth to analyze spatial and temporal data.
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Act as the in-house data steward/owner for Amgen’s EAM/CMMS database and reporting tools. Knowledge of data visualization tools such as Tableau, Power BI, JMP, BO etc. Data analytics skills and proficiency in systems (Maximo, SAP, Excel, Brio, Tableau, and/or Python.
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Master’s degree from an accredited university in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics with 3 years relevant work experience is required; a doctoral degree (PhD, DrPH, ScD) is preferred.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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We are looking for data engineers and Group 5 unmanned aircraft systems (UAS) developers excited about implementing a powerful instrumentation, telemetry, and data management system for flight test of Group 5 UAS.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) Understanding and being highly proficient at querying a wide variety of healthcare data and related population data (medical/pharmacy claims, behavioral health claims, health care management (HCM) records, electronic medical records (EMR), provider databases (AMA, NPI, DEA, etc.
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As a Client Engagement Team Leader covering residential securitized product data, you will be responsible for leading a team of hard working individuals who are supporting our clients with their inquiries, onboarding new issuance and bond payment data, and building strong relationships externally with issuers and trustees.
$135,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery.
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Familiarity with Databricks for big data processing. System automation, scripting using Power shell and deployment tools (Azure DevOps Service, TFS, Chef/ Puppet etc. Experience implementing industry best practices like code analysis, unit testing, test automation pipelines, security controls using Azure DevOps/TFS, performance testing using VS etc.
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We are a hybrid experimental/computational team utilizing big data (metagenomics, transcriptomics, metabolomics) to study the microbiome and virome in human health and disease. One year of related experience with varied types of high-throughput sequencing data and analysis, in particular microbiome shotgun metagenomics.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
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Design, develop, and sustain satellite command and control, mission planning, mission data processing and data analysis software systems using Elixir. Functional programming in languages like Elixir, Erlang, Clojure, Haskell or Rust.
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data job Title: buyer Company: Randstad
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