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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Candidate must have experience working in data management as an analyst The Virginia Department of Transportation (VDOT) Business Integrated Solutions Division (BISD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Business Analysis and Testing Support team.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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This position will sustain a key role in the design, implementation, and documentation of profitability solutions, streamline report development and production, integrate financial systems and data, and sustain and navigate ongoing evolution of financial reporting needs.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Data services layer including Athena, Redshift, RDS, microservices and APIs.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Demonstrated capability in the complex data analysis techniques such as dimensionality reduction/scaling/normalization, clustering analysis, inferential statistics/regression analysis, and various machine learning techniques.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Build scalable data pipelines using varieties of tools, including Qlik Replicate, Five Tran, Databricks, etc. Working knowledge of big data tools (e.g., Hadoop, MongoDB, Kafka, HDFS, YARM, etc.
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The wastewater surveillance Data Manager/Data Scientist will serve as data steward and will be responsible for data infrastructure and governance on a team of epidemiologists and data scientists all working on subsets of wastewater surveillance data to ensure data flows are connecting seamlessly across the ecosystem.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications. Develop and maintain data integration workflows to ingest, transform, and load data from various sources into Databricks and AWS data storage solutions.
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data job Title: sales representative Company: Vector Marketing in MD, United Kingdom
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