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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Create, extract, transform, and load (ETL) pipelines using Hadoop and Apache Airflow for various production big data sources to fulfill intelligence data availability requirements.
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Data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security, and privacy, data standards, regulatory compliance and enterprise architecture frameworks.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Proficiency with Power BI, data analysis, data query, data aggregation, data visualization, software development, system architecture, data transformation, data management, and big data technology.
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At least 2 years of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. + AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities.
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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Extract and transform disparate data into actionable insights that will drive business decisions, while applying industry best practice transformation, modeling, DevOps and data governance techniques and validating outputs to ensure reliable and accurate results for consumption by downstream data teams and end users.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats Ability to utilize geographic names information from the GNDB. Ability to analyze imagery and non-imagery source information for application to NGA hydrographic products and databases.
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Specifically, the Software/Web Developer shall: Support business and intelligence dissemination processes that are located on NGANet/COE/JWICs, SECNet, and SBU with primary usage on NGANET/COE/JWICs∯*∯ Support production teams made up of analysts, data stewards, geospatial and imagery analysts, database engineers, data scientists, multimedia specialists, graphic designers, 3d designers, and editors to develop modern web conveyance products for special intelligence topics.
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Travels to attend trainings and professional development as directed by the data coordinator and the CDCS Chief. Develops and improves systems for local health department staff, regional and central Department communicable disease staff for analysis of outbreak data and management an analysis of surveillance data.
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Configuration of data management, visualisation, and analytical platforms in support of DnA service delivery including Azure Databricks / Delta Lake and Synapse, SQLServer, Analysis Services / PowerBI. Put in place automated processes to reduce effort for colleagues in setup and maintenance of data platforms.
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Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
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big data governance jobs Company: Ey in Springfield, Gretna, Louisiana
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