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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Experience with data platform and visualization technologies such as Google plx dashboards, Data Studio, GoogleSQL, and BigQuery.
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Knowledge in Big data, No SQL databases and Data Science concepts is preferred. Strong expertise in following tools and technologies: Azure Cloud, Azure Data Factory, ODI, Azure Pipelines MS SQL Server, SSIS, SSRS, Synapse, Microsoft Power BI or Tableau.
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The Inform and Disseminate Scientific, Analytics and Visualization Team provides high-level public health expertise on all phases of statistical models and interpretation of analysis and studies on big data sets of surveillance and purchased clinical data for performing data analysis.
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Design, build, launch, optimize and extend full-stack Data and business intelligence solutions spanning extraction, storage, transformation and visualization layers. Role : Data Analyst / Data Engineer / BI Developer.
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Working knowledge of data visualization tools such as Tableau, Power BI, or Qlik. Familiarity with Big Data technologies (e.g., Hadoop, Spark, Hive, Pig, Sqoop, Flume, Oozie.
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Experience with data science a plus Experience with information visualization, scientific visualization, or visual analytics a plus Experience with several programming languages including HTML5, PHP, Java, C, C.
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Demonstrated experience in data analysis, explanatory and predictive modeling, data manipulation, analytical applications, big data engineering, algorithms, statistics, machine learning, natural language processing, and data visualization.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Acquire a solid understanding of the principles of data engineering, including data wrangling/transformation, tools or programming languages, and data visualization/BI technologies for the purposes of automating processes involving data manipulation.
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Skilled with data analysis tools and querying using tools such as SQL, Python, Alteryx, Tableau, Databricks, Hadoop or other big data platforms. The Advisor will provide reporting, analytic support, data visualization services and consultation to our core customers.
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Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data.
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Professional Development – Paid training, Certifications, and Enrichment. Experience on projects that develop complex software, ensuring a collaborative environment, and configuration management. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.
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Or other comparable languages Experience on projects that develop complex software, ensuring a collaborative environment, and configuration management. As a small start-up operating out of the Baltimore/Washington DC area, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers.
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All employment is decided on the basis of qualifications, merit, and business need. Experience implementing software life cycle management (requirements, design, develop, test, validate, deploy). We are in need of team players that will work within a cohesive group to provide unique technical solutions, enabling one's creativity to be set free.
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Experience with Data Visualization tools like Tableau, SiSense, Looker. Title : Big Data Engineer. Ability to design and develop optimized Data pipelines for batch and real time data processing.
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3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka can be beneficial, as they integrate with Azure Synapse Analytics and enable large-scale data processing and analytics.
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big data visualization jobs Title: developer
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