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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Required Skill Strong on data Integration and architecture - Mulesoft, Informatica Cloud, MFT I & MLOPS - Dataiku, RStudio, Datalab, Databricks BPM - Appian Data Storage, Prep & Modeling WS Data Visualization, Visual Analytics Data Quality.
$60 - $65 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Technology Ecosystem: Front-End: Power BI and SSASBack End: SQL Server and SSISArchitect: DataWarehouse and LakehouseCloud: Databricks with Azure Responsibilities Participate in ad hoc request where SQL queries needs to be written to pull data and ensure data is accurate.
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3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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We serve 13 million customers and operate more than 1,000 locations, including collection and transfer stations, recycling and polymer centers, treatment facilities, and landfills.
$23.8 an hourFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Must have proven experience and expertise in Data analysis, pre-processing, EDA and Data Visualization. Must have implemented at least 5 Deep Learning applications at large scale, with terabytes of training data.
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Develop use-cases and PoCs on newer technologies such as IoT, Big Data, Blockchain, AR/VR, etc. Data oriented personality who strongly advocates data driven decision making. B Pharm/BSc/B tech/ M tech/BE + MBA ( Pharmaceutical Management, added advantage.
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AWS Solution Engineer or AWS Cloud Engineer or Data Cloud Engineer Hybrid, 3 days a week onsite Design, develop and deliver cloud datastore solutions and develop automation pipelines to migrate data sets from On-prem to Cloud platforms.
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High level expertise in use of statistical software such as SAS, Stata, R, Python or similar data analytic software. For details, please go to Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility None Qualifications Minimum Education and Experience Doctoral degree in a biostatistics, bioinformatics, epidemiology, health, data, or other related field.
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Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments. Proven experience as a Data Architect or Data Modeler, specifically within the clinical or healthcare sector.
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Analysis and data visualization, budgeting and forecasting. Non-profit accounting, public accounting experience, and/or consulting experience is a plus but not required. Serve as the outsourced Controller/CFO for multiple non-profit clients.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Keywords: ETL sql ssis informatica dwh data warehousing banking financial azure snowflake databricks ELT market risk jira confluence tidal django flask pyramid tornado pytest pylint. Direct experience of building Data Pipelines using Azure Data Factory and (preferably Databricks.
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The LDAR Monitoring Technician, using an analyzer and electronic data recorder, is responsible for accurately monitoring components on an assigned route within an industrial facility. Must possess the ability to use a portable analyzer and electronic data collector.
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Look for the patterns and connections in different data sets working with cross-functional partners Leverage the latest collaboration tools and technologies (e.g. DOMO, Google data studio) to drive next level of analytics, data visualization and facilitate information sharing.
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data entry jobs Title: tech Company: Club in Edison, NJ
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