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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Determine future discovery and integration requirements and needs to improve CMDB completeness and data quality.
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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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.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data Migration: Work with data migration teams to ensure that data from existing systems is accurately migrated to the new ERP system without loss or corruption. Your actual base salary will be determined based upon a number of factors which may include relevant experience, skills, location (labor market data), credentials (education, certifications), and internal equity.
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Data Governance and Security: Implement data governance policies and security measures to ensure data quality, security, and compliance with data regulations and industry standards.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team.
$88,400 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
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Good fit for anyone with sales experience in the water quality/water filtration industry. Conduct territory site visits offering our water quality, conditioning, and filtration solutions.
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Supporting client mainframe application modernization projects through the solution design, calibration, code and data conversion, testing, and validation phases. Engaging in detailed conversations with solution architect(s) and technical leads regarding options for customizing and modifying code, and data conversion tools.
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Salary: Data Entry Work from Home - Part Time Computer Job. Data Entry Computer Job - Work from Home Part Time. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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Diversity, equity, and inclusion are integral to the commitment of the Data Science Institute and Brown University. Organization: Data Science Institute (DSI) at Brown University. Engaging partners across campus and beyond, DSI facilitates and conducts both domain-driven and fundamental research in data science, educates the next generation of data scientists, and explores the impact of the data revolution on culture, society, and social justice.
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data quality jobs Title: data analyst in Seekonk, MA
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