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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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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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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. Data pipeline and workflow management tools: Airflow, NiFi, etc. Big data tools: Hadoop, Spark, Kafka, etc.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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Demonstrates proficiency in master data management and data governance principles. Provides end-user support for quality control activities, including data validation, review, and approval processes.
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In this newly established leadership role within our Product team, Get Well is seeking a VP, Data & Analytics who will be responsible for leading the data strategy across our portfolio of products.
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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Ability to work iteratively with the business community to gather requirements and develop enterprise level visualizations using agile methods Experience developing data visualizations against ERP transactional and analytical data models Creates complex queries, and stored procedures to deliver dynamic data visualizations Requires Qlik Sense or Qlik View certification Eight (8) years + relevant experience Experience with complex custom-developed visualizations using D3, HTML, JavaScript, etc.
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ICF is currently seeking a Data/CQI Administrative Specialist position to support data analysis, data visualization and data storytelling across the project. Demonstrated experience in data management, relational databases, data visualization and data storytelling techniques and principles, including use of software such as Tableau, PowerBI, or Excel.
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Expertise in defining, architecting, and delivering data and analytics solutions on AWS, GCP, or Azure cloud, as well as experience with Snowflake or Databricks platforms, and other related platforms and services.
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data job Company: Walt Disney in Mclean, VA
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