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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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Competence in SQL, Tableau, Power BI, and Excel Pivot Tables for Data Management, Visualization, Analytics, and Reporting. Conducting Data Management, Visualization, Analytics, and Reporting using SQL, Power BI, Tableau, and Excel Pivot Tables.
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Title: Lead Data Engineer Big Data. Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies. Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.
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We are seeking a highly skilled and experienced Construction Superintendent specializing in data center projects to oversee the construction process of our state-of-the-art bitcoin mining facilities.
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The Company's end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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Description: Job/Position People Analytics Data Engineer & Enablement Hybrid, 5 days 1 month, the rest as per needed Location: Lexington, MA or virtual OBJECTIVES/PURPOSE (3-4 bullets) Reporting to the People Analytics BI & Innovation Lead, and as a key member of the Global HR People Analytics team, this individual will be responsible for enabling the democratization of data within the people analytics team.
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5+ years' work experience using at least two business intelligence tools such as Tableau, Power BI, MicroStrategy. 5+ years' work experience writing complex data analytic code using R, Python, SAS, Stata, SPSS, SQL, or Excel to extract and manipulate datasets from large data repositories and databases.
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Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
$107,000 - $183,200 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
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The job of a Power BI developer is to design, build, and deploy reports and dashboards using granular and multi-source data. A Power BI developer is a strong and talented developer with the skills and experience to support our quality assurance metrics design and development efforts using Power BI. The Power BI developer should have a complete understanding of the Power BI system and be able to convert raw data into meaningful insights through interactive and easy-to-understand dashboards, charts, and reports.
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Partnering with Commercial Data Lake and Enterprise BTS organizations to evaluate and establish analytics best practices and solutions related to data visualization and data mining and provide thought leadership on consolidation of reporting platforms for operational & analytics data visualization and modeling.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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REQUIRED QUALIFICATIONS Bachelor of Science in Electrical Engineering (Power Systems), Quantitative Finance, Computer Science, Data Science, Operations Research, Economics, Math, or other quantitative fields of study.
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Experienced in Power BI development, including data modeling, report creation, and dashboard design. 3+ years of experience as a Power BI Developer with a focus on Crystal Reports migration.
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big data mining power bi jobs Company: Multimedia Solutions
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