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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Reporting to the Director, Employer Relations & Career Center Operations for the Stevens Career Center, the Data & Technology Specialist actively supports a student-centered career center which serves an undergraduate and graduate population pursuing degrees in engineering, the sciences, business and management, the humanities, and the fine arts.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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As the coding data quality auditor you are responsible for the coordination of auditing and education in support of achieving organizational strategic initiatives. Performs functions as both coding data quality auditor/educator and is responsible for providing oversight on education and audits of medical records in compliance with federal coding regulation and guidelines.
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We are seeking a dynamic and experienced Project Executive with a proven track record in Data Center Construction to lead our projects in the Nashville area. Job Title: Project Executive - Data Center Construction.
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Familiarity with one or more of the following datasets: Biomarkers, DNA methylation data, RNA sequencing data, and/or metabolomics data. The Columbia University, Robert N Butler Columbia Aging Center is seeking a full-time Staff Associate II (Biostatistician) to aid in statistical analysis and day-to-day data management associated with multiple concurrent research projects of the Aiello Research Group.
$60,000 - $80,000ExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Deep domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORTA proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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