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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must.
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3-5 years of health care data interpretation, analysis, and reporting experience required, Clinical background with EHR experience (eClinicalWorks), Pharmacy point of sale systems, and/or population health management systems preferred.
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Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Experience with data science, machine learning, and/or artificial intelligence. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc. Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Data Warehousing and experienced with SQL Server, Oracle, DataBricks, Snowflake, etc. Data Modeling experience and experienced with SSIS, DataBricks, Azure Data Factory, etc. Proficient with Data Visualization/Modeling.
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Dominion Enterprises (DE) is a privately held digital marketing, data services, and software services conglomerate offering client solutions through specific business units in several verticals including automotive, hospitality, franchise, real estate, advertising, and powersports.
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Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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The Sr. Data Engineer will be a champion of the latest Cloud database technologies & data engineering tools. Experience with Data Visualization tools such as Tableau, Looker or similar.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI tool, and AWS as our infrastructure. This role will lead our data engineering team reporting to the VP Technology.
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Develop and maintain ETL processes and data pipelines using languages and tools like Databricks, SQL, Python, Apache Airflow, Apache Spark or other data integration platforms, as well as Powershell scripting.
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We are seeking expertise in the following areas - candidates with wider skill range will have advantage: Cloud, Exadata, Real Application Clusters, High Availability, Data Guard, Recovery, ZDLRA, Performance, Memory Management, Database and Query tuning, Storage, ASM, Golden Gate, Security, Networking, Enterprise Manager etc.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements.
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data entry jobs Company: University Of Missouri System in Columbia, NJ, Pennsylvania
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