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2+ years of experience utilizing Data Engineering/Cloud tools including GCP, Databricks or Snowflake. The GPS AI & Data (AI&D) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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EOSID specializes in the complete optical imaging and remote sensing chain, from the analysis, design, development, integration, test and evaluation of imaging and sensing systems, to the processing, exploitation, and visualization of data and imagery.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Data engineering certification is a plus.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support the design and implementation of new data analytics and visualization tools. This role will support Financial Planning & Analysis for Inspire Company Owned Restaurants, provide support to restaurant operations, and implement analytic and visualization tools for brand reporting.
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A critical role in a dynamic company where data engineering is directly linked to enhancing client business performance. We are seeking consultants to focus on data management/engineering/warehousing with secondary competency in BI platforms and analytics.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Manage and model data in visualization tools, to provide a collaborative data analytics platform for the company. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow. Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field. Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology.
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You’ll partner with product, treasury, fellow data scientists, and data engineering to understand these problems, help produce the necessary model inputs, build models at the right fidelity and frequency, help push these into production, and monitor the health and success of these models.
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Highly proficient with geotechnical engineering principles, practices, process, design/build, and the application to permitting and project work-related issues. Oversees the development and implementation of advanced technologies, monitoring devices, building materials, modeling techniques, design requirements, and operating strategies to account for the safety and functionality or end-users, transportation systems, structures, and the implementation of future-ready solutions with geotechnical engineering design standards.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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data engineering visualization jobs Title: data analyst Company: Inspyr Solutions in Atlanta, GA
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