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Expert Microsoft t-SQL and DAX development skillsExtensive experience using various data modeling techniques (Kimball, Inmon, or Data Vault)Experience using the Power Platform, particularly Power Bi and Power AutomateExperience in a multicloud environment, with a focus on GCP.
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You will interact with developer, data engineer, UX designer, product manager, and senior executives to understand problem domain, project requirements, users experience and demonstrate model performance and its business value.
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Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in zure Big Data Environment Expertise in ETL tools i.e. (Infomatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in zure stack ( zure Data Lake, zure Data Factory) Exp in Scala or Python, T-SQL.
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Role: Data Management Developer. The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Experience with data visualization tools, such as Tableau, Power BI, Google's Looker Studio, D3. The School of Government and Public Policy (SGPP) at the University of Arizona invites applications for a Data Architect III. The data architect will work closely with the Arizona Voter Project Director and academic collaborators to provide technical support for the Arizona Voter Project.
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Reporting directly to the Director, Business Applications, this position will be responsible for leading data strategy, contributing to enterprise data lake & analytics platforms using Snowflake, Fivetran and DBT technologies and drive standardization, operational excellence across the organization.
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
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The focus of the Data Specialist is to properly report production and processing information from the seed to sale system (METRC/Biotrack/MJ Freeway), ERP (Dynamics NAV), and our internal systems for all identified locations in Region 2.
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Abt Associates seeks a mid-level professional in Data Analytics with a background in data used by the United States Department of Health & Human Services (HHS) Centers for Medicare & Medicaid (CMS), Social Security Administration (SSA), Centers for Disease Control (CDC), or other HHS agencies.
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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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This role is supported through the guidance of the rest of the Insights & Analytics team along with other data specialists across GCO, with business knowledge provided by the Casino Marketing team.
$60,600 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Department of Public Utilities seeks applicants for the position of Data Analyst II in the Rail Transit Safety Division. The Data Analyst II will support the Rail Transit Safety Division’s data-driven decision-making processes.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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data job Title: developer Company: Kforce Inc
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