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Proficient in data engineering concepts including data modeling, data warehousing, data orchestration (e.g., Airflow), monitoring/observability, and data governance.
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Data Risk & Privacy - Data Governance - Data Modeling / Ontologist & Knowledge Engineering - Manager
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EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) Knowledge and experience developing and advising on taxonomy and ontology governance.
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SQL skills (hard requirement), Data Architecture, Business Analytics, Critical Thinking, Data Management, Data Visualization, Consulting, Data Modeling, Process Design, Regulatory Compliance, Risk Management, Cloud Solutions, Collaboration, Data Governance, Talent Development ,Technical Strategy Development.
$134,900 - $217,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We use modern technologies like: Google Cloud Platform, GoLang, GRPC, Kubernetes, Tensorflow, PostgreSQL, Typescript (Angular), Swift (iOS), and Kotlin (Android). Modern office space in downtown Denver with daily coffee, tea, drinks & snacks.
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Passion for data engineering, building enterprise data platforms and a commitment to continuous learning. Subject matter expertise with the Financial Asset Management Industry domains along with experience with external vendor products Including Eagle Data Management, Rimes, BlackRock Aladdin, State Street, Morningstar, and Bloomberg.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Or Scala, and experience working with modern web frameworks like React, Angular, or Vue.js. Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
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Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion.
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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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Experience with data platforms (Databricks, Snowflake, etc.) The Software Engineering Director will be responsible for building and leading a high performing team that is focused on using technology, advanced analytics, embedded insights, and product design principles to innovate and deliver modern solutions aligned to strategic initiatives in support of Supplemental Health Solutions (SHS) products.
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This Document Control Specialist will be assisting with daily tasks related to supporting Treasuring operations, including overseeing bank accounts, coordinating global signatories, and ensuring effective governance of the Treasury function.
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These additional qualifications are a plus, but not required to apply:Familiarity with Modern Data Platforms technologies like Snowflake, Matillion, Bryte Flow, and Tableau is a plus. As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Integrate Neo4j with Snowflake and AWS to ensure seamless data flow and compatibility. Cloud Data Architect - Denver, Colorado or Austin, Texas. Exposure to other big data frame works such as MapReduce, HDFS, Hive/Hbase, Cassandra.
$125,000 - $160,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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modern data governance learning jobs Company: Wex in Littleton, CO
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