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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) 4+ years of experience in a data analyst role working at scale. Mediavine is seeking a Data Analyst II to join our Engineering team.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Fall 2024 Graduate Data Analyst Engineering Co-Op/Intern LOCATIONS: Austin, Folsom. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Experience using SQL (Redshift, Databricks) and ETL (dbt) tools to transform big data sets (billions of rows) into digestible insights/metrics across technical (Looker) and non-technical tools.
$210,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark, Lucene and other big data technologies Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
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Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Experience using cloud-native data warehouse solutions such as Snowflake or Databricks. One source of truth reporting for the company: Develop and execute a comprehensive data definition and reporting strategy to ensure accurate analysis, and utilization of company data from Snowflake.
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Experience with other technologies used including Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
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Here’s What You Need: Minimum 7 years of experience with/in SAP Master Data Governance Minimum of 3 end-to-end SAP Master Data Governance implementations Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master, Finance Master Data Objects, Customer, Vendor Bachelor's degree or equivalent (minimum 12 years' work experience.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Working knowledge of computer and software applications used in job functions (Order entry, data input). Responsibilities:The Licensed Vocational Nurse/Licensed Professional Nurse LVN / LPN is responsible for the direct and indirect nursing care of all patients ranging in age from 18 years to geriatric experiencing medically complex conditions, general medical-surgical conditions, with rehabilitation and/or wound care needs.
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big data jobs Title: data analyst Company: Remoteworker Us in Austin, TX
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