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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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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.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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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 Data Coordinator is responsible for Student Information System (SIS), CALPADS and attendance related tasks, including creating reports and maintaining student data for Charter Impact clients.
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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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Usage of business intelligence tools (e.g. Tableau, Looker) and data frameworks (e.g. Hadoop, Google Cloud Platform, SAP) Build data ingestion processes using Google Cloud ETL tools (Data fusion, Dataflow, Dataproc, Airflow.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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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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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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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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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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Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
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Develop in data technologies such as T-SQL, Microsoft Azure Data Factory, Databricks. Under the direction of the Information Leader, the Data Quality Analyst - Senior interacts with business stakeholders, gathers information, analyzes business and technical requirements, develops, tests and implements data-oriented solutions, in accordance with firm policies and procedures.
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data job Title: buyer Company: Randstad
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