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Qualifications Strong technical accomplishments in SQL and data analysis skillsExperience with data transformation orchestration tools like dbt or DataformStrong business intuition and ability to understand complex business systemsFamiliarity with additional transformation platforms like Apache Spark and BeamExperience with MPP databases such as BigQuery, Redshift, or Snowflake.
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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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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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ResponsibilitiesYou will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences.
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Significant experience with eDiscovery platforms such as Relativity, Nuix (Ringtail) or Axelerate Experience across the whole Electronic Data Reference Model including a strong understanding of eDiscovery concepts and the adoption and utilisation of technology.
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The RDA will enter all medical chart review data into Redcap. We are seeking a Spanish-English bilingual Research Data Associate to collect data and support Dr. Ortiz's intergenerational health equity research projects in the Department of Pediatrics at NYU Langone Health / NYU Grossman School of Medicine, and NYU Langone Brooklyn.
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Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with data visualization tools such as Tableau or Power BI.
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The Walt Disney Company Direct to Consumer's (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
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The Senior Planner will engage in data collection, processing and management, data interpretation and visualization, qualitative research and outreach, and information preparation across a mix of interactive and digital platforms.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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THE POSITIONOur roster has an opening with your name on itWe're looking for a Senior Data Engineering Manager to contribute to FanDuel's growing data and analytical needs. It also includes creating the right culture to enable a high performing data engineering teams and managing 3rd party development partners.
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Title: data Company: Dice in New York, Pelham, New Hampshire
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