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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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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 Yesterday - UpvoteDownvoteShare Job
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Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.
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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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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Exhibit expertise in Azure Databricks, Azure Data Lake, Ansible, SQL, Terraform, Kafka, and Azure CLI.Apply hands-on development experience using Databricks, with proficiency in Azure, AWS, or other cloud technologies.
$75 - $76 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Design and develop new proof of concept projects to enhance current software systems to handle increased traffic and larger datasets using Apache Spark, Big Data, REST, NoSQL, and Quarkus.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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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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The IT Asset Manager will be responsible for developing and executing the business processes, managing asset data, and providing reporting & analysis. Utilize ServiceNow ITAM to manage asset data, reporting, and processes.
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Wells Fargo is seeking a Lead Institutional Investment Operations Specialist within the Wells Fargo Securities (WFS) Customer Due Diligence team as part of Corporate and Investment Banking (CIB) Operations.
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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.
$208,580 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Company: Wells Fargo in Charlotte, VA, Massachusetts
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