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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Data mining: Utilize NLP technologies to extract insights from customer interactions, including chat logs, emails, forms, documents etc. Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Working knowledge of program evaluation/outcomes research methods, predictive modeling and data mining. Data mining and pattern recognition to answer “what happened?” Advanced degree in Statistics, Mathematics, Data Science, Biostatistics, or Epidemiology or 3-5 years of related work experience.
$109,100 - $181,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and execute a comprehensive government relations strategy that supports CleanSpark's objectives in the Bitcoin mining industry. As a CleanSpark team member, you'll be at the forefront of the global bitcoin revolution, shaping the future of responsible mining.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow) The ETL data engineer will support the OCTO Enterprise Data team for data curation, processing, and transformation tasks.
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We seek to fill an ETL Data Engineer role for OCTO - Office of the Chief Technology Officer in the DC Government. · Strong knowledge of Extraction, Transformation, and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, and Informatica by gathering requirements from the stakeholders or analyzing the existing code and performing enhancements or new development.
$100,000 - $107,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A connected data ecosystem is a key dependency to realize critical business strategies across Research and Development, such as AI/ML and precision medicine. In partnership with enterprise data platform teams, functional technology teams and data scientists, the Sr Data Engineer Clinical Data Hub will be part of a team delivering key clinical trial data initiatives that are contributing to the advancement of a connected data vision, including the Enterprise Data Fabric (EDF.
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Design end-to-end data pipelines leveraging Databricks for ETL, streaming, and batch processing. We are seeking an accomplished Principal Consultant with specialized expertise in delivering strategic Databricks and data engineering solutions for our clients at Lovelytics.
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Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Coursework, research or experience modeling using Stata and R, and performing advanced economic and econometric/statistical analysis including regression, time series, panel data, discrete event, economic optimization, and stochastic and dynamic general equilibrium models.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organizations overall HR Data & Reporting objectives.
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Experience with cloud-based data warehousing platforms such as Amazon Redshift, Google BigQuery, or Snowflake. Certifications in relevant data warehousing technologies or platforms (e.g., AWS Certified Solutions Architect - Data Warehousing Specialty, Snowflake Certified SnowPro, etc.
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data mining jobs Title: data Company: Aspca in Washington, DC
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