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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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We are seeking a data scientist for the Soccer Operations department with D.C. United. Analyze data from all aspects of soccer operations. Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, Dash, etc.
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Supports development and management of data science best practices, which could include quality assurance processes, establishing and maintaining coding standards, and building internal tools for common data processing tasks.
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Work closely with analytical cells to understand analyst behavior and their use of data, systems, and tools. Experience working with noisy intelligence and operational data sets from multiple disparate sources to include unstructured, structured and sensor data in many disciplines such as all-source reporting, geographic information systems, biometrics reporting, imagery intelligence, signals intelligence, human intelligence, and open-source intelligence.
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Experience working in the Virtual Research Data Center (VRDC) offered by CCW. ADVI Strategic Analytics and Value Economics (SAVES) is hiring for a full-time senior data scientist position.
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Under the direction of the department leadership team, the Healthcare Data Analyst II – Data Quality & Reporting (HDA II – DQ & R) is responsible for leading various data and analysis efforts for the Data Quality & Reporting Department that help drive company key initiatives.
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Experience with data quality assurance and testing on GCP. Measure and monitor the quality of data on GCP data platforms. Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
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Develop and maintain centralized Transportation-related data consumption and reporting layers. Develop and maintain centralized Transportation-related data consumption and reporting layers.
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Develop efficient Extract, Transform, Load (ETL) processes to ingest data from diverse sources, cleanse and transform it, and load it into target data stores, ensuring data quality and integrity.
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Familiarity with CI/CD tools (GitHub,Jenkins, UCD) and data storage solutions (PostgreSQL, MS SQL, AmazonRDS/Aurora, Databricks, Snowflake). As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse) BigQuery, Astronomer, Python, airflow, dataproc. Orchestrate workflows by using Astronomer (Airflow) that execute ETL data pipelines in a scheduled manner.
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The Analyst, Master Data Management ensure global master data integrity and quality across processes and business groups. Ensure global master data integrity and quality across processes and business groups.
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We're looking for a passionate Principal Data Scientist with hands-on predictive modeling experiences and in-depth knowledge of consumer lending products. If you are a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech, keep reading.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.
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data job Title: quality data analyst Company: General Dynamics Information Technology
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