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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
$55,107 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query) Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI). Support data governance efforts across the organization, including but not limited to data classification, data retention and disposal, data sharing, records management, archiving data, and data privacy.
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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) 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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Coordinate data collection, through database polling or data entry, from multiple FCs; and conduct analysis generating strategic and tactical interpretations. The Loss Prevention Specialist (LPS) is a key high-level hourly associate position in the Amazon Fulfillment Centers (FCs.
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Proficiency with People Analytics tools, including data visualization and analysis, highly desired (e.g., Visier, Crunchr, PowerBI, Workday, Python, R, Tableau). In partnership with the HR Enablement Director and the HR Data & People Analytics team, you will be an integral part of the development of a comprehensive people analytics strategy and play an active role leading its execution.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Dominion Enterprises is a privately held digital marketing, data services, and software services conglomerate offering client solutions through specific business units in several verticals including automotive, hospitality, franchise, real estate, advertising, and powersports.
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Leverage the bank's standard tools including various enterprise data stores, reporting and visualization tools such as Tableau, Business Objects, and workflow tools such as MS PowerApps. In this role, you will: Develop and build IAM data pipelines that will form the basis of risk reporting using visualization tools such as Tableau and PowerBI. Source data from databases (including SQL, Oracle and Teradata), data lakes, API based data acquisition, analytical data objects such as SAS data files, web, SharePoint, Excel and other sources as needed.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Evaluate and illuminate business opportunities to put into research and development for well-being and health products, data, research and partnerships. Responsible to lead partnerships with health advisor community, support research execution to enable scientific paper execution, institutional research, and third-party data.
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Design, code, test, document, and maintain high-quality and scalable Big Data, Cloud solutions. Implement large Data warehouse solutions in Cloud. In this role, you will play a key part in driving innovation by creating novel analytic solutions, enhancing existing capabilities, managing data pipelines and migrating legacy systems to cloud.
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big data jobs Company: Boeing in Minneapolis, MN
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