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Experience with Big Data frameworks (e.g. Hadoop MapReduce, Spark, Hive, Kafka) Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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8+ years of experience managing software development projects through complete release cycles 4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc 4+ years of experience leading software engineering teams 2+ years of experience in cloud technologies: Azure(big plus), AWS, OpenStack, etc.
$172,355 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Assist with data entry, data validation, and data corrections as needed to ensure accuracy and completeness of HR data. Manage user access, security roles, and permissions to ensure data integrity and compliance with regulatory requirements.
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Leverage the bank's standard tools including various enterprise data stores, reporting and visualization tools such as Tableau, Business Objects, and workflow tools such as MS PowerApps. In this role, you will: Develop and build IAM data pipelines that will form the basis of risk reporting using visualization tools such as Tableau and PowerBI. Source data from databases (including SQL, Oracle and Teradata), data lakes, API based data acquisition, analytical data objects such as SAS data files, web, SharePoint, Excel and other sources as needed.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Advanced knowledge of Microsoft software (Excel, Word, Power Point) including advanced excel functions such as pivot tables, Vlookup and Microsoft Visual Basic (VBA) to supplement SQL skills in data analysis exercises.
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Bachelor's Degree in Computer Science or relevant field plus 8+ years of progressive experience in designing, developing, and deploying Date warehouse and Big Data solutions. 5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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Familiarity with a number of SEO suites and tools including: SEOclarity, SEMRush, Ahrefs, and/or Screaming FrogExperience working in the weeds with data using tools such as Microsoft Excel, Google Analytics, Looker/Looker Studio, Tableau, Google Cloud Projects/Big Query, Google Search Console, SQL, and/or other common reporting platforms.
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Kuehne+Nagel reviews pay ranges regularly to ensure competitive and fair pay based on industry market data. Kuehne+Nagel reviews pay ranges regularly to ensure competitive and fair pay based on industry market data.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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O Governance of overall D&A platform ecosystem with focus on process and solutions catering to Data masking (PII management), data lifecycle management needs- DevSecOps Solution Responsibilities: o Develop effective tooling, alerts, and response mechanisms to identify and address reliability risks leveraging automation to support problem prevention, detection, mitigation, and resolution.
$189,240 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Independently extract insights from data to design solutions within the Financial Crimes space through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition and/or Machine Learning.
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Disclaimer: We're proactively building a data bank for opportunities in Healthcare, Health Tech, Government, Non-Profits, Legal, and more. We are proactively building a data bank for opportunities in these fields.
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Handles all data entry for creating project folders specific to True Homes. Reports to: Shana Austin, True Homes Design Manager. Additionally, custom millwork and prefab components are built-in Pineville, which also sources and fabricates exotic wood products like reclaimed lumber flooring, siding, cabinetry, and mantles.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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big data jobs Title: forklift in Charlotte, NC
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