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Collaborate with cross-functional data office and business technology to help influence roadmaps and strategies related to key pillars of data processes. Collaborating with key partners throughout the company, including internal business partners, business technology, and the data office, this role will uncover key insights to drive crucial business decisions and influence scalability.
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Play a key role in data-driven product development for FinTech products, including travel insurance. Actuarial Data Scientist III. Analyze data and build predictive models using tools such as Python and R to support product development.
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Through a hands-on lead by example approach, set a standard of excellence and evolve best practices to match the emergence of new approaches to data product development. Excellent skills in developing & deploying automated interactive data visualization products using tools such as R-Shiny & SpotFire.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Has 5+ years of working experience with big data technologies, data transformation tools/technologies, and data management practicesHas 5+ years of working experience with distributed data processing, event streaming technologies, and programming languages such as Python, Spark, Kafka, Flink, etcThe total cash range for this position in Chicago is $202,500 to $283,500.
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As aPeople Analytics Senior Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
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Familiarity with other Big Data technologies, NoSQL solutions, Spark Streaming, Flink, Kafka, and cloud services (like Kubernetes, Google Cloud, AWS) Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or other pertinent big data technologies.
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Microsoft Azure Big Data Architecture certification. · Experience with other Open Source big data products Hadoop (incl. Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks and/or HDInsights.
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About the RoleThis job may involve working in areas such as Investigations, Information Governance and Electronic Discovery (eDiscovery) related to the collection of computer and digital data, digital forensics, cyber investigations, data management, privacy and security, document review consulting, and engagement project management as part of a rotational program that provides exposure to all parts of the business.
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Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management (data pipeline orchestration, airflow, dbt core, gitlab scheduler, prefect.
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Own the development and implementation of data collection methodologies and requirements to monitor and optimize the performance of our PCBA (Printed Circuit Board Assembly) and PCBA supplier base.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) As a Senior Data Scientist at Amazon Prime Video, you will work with massive customer datasets, provide guidance to product teams on metrics of success, and influence feature launch decisions through statistical analysis of the outcomes of A/B experiments.
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The Director of Cyber Intelligence & Data Operations leads the university's cyber threat intelligence (CTI) program focusing on collecting, processing, analyzing, and disseminating actionable cyber security and privacy intelligence to stakeholders and security products for informed and automated decision making to respond to threats and mitigate risks to university people, systems, and data.
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SCUBA certification and proficiency, and the ability to assess and collect data while SCUBA diving. Conduct field habitat assessments, oil spill mapping surveys, water/sediment/tissue sampling, damage assessment and mapping, and various other data collection surveys in field.
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big data jobs Title: technology lead in Seattle, WA
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