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Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. & data visualization software (Power BI, Adobe Analytics, Excel, etc.
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The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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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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Big Data Technologies Connoisseur: Experience with big data technologies and data pipeline orchestration tools. You're not just experienced; you're a trailblazer in navigating and harnessing the complexities of big data.
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Delivering data engineering pipelines using databricksAWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Incorporate core data management competencies including data governance, data security and data quality.
$121,000 - $199,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Or similar”) Willingness to learn medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI. Familiarity with software development, data, and integration architecture Hours/Location: M-F; Days May work remotely but will prefer local applicants for occasional onsite needs.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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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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If you believe in big goals, consider joining our team to help solve reliability challenges for the world's largest semiconductor, printed circuit board, and precision assembly manufacturers. At Nordson Electronics Solutions we have big goals, an innovative spirit, and a vision to become the preferred partner to electronics manufacturers worldwide.
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Experience working with APIs for data retrievalExperience working with data warehouses and big data tools (e.g., BigQuery, Databricks)Experience creating data/table architectureExperience implementing QA processes and QA automationExperience integrating data models within softwareExperience working with marketing, analytics and customer dataPay Transparency.
$62,000 - $93,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data connections to various databases and data transfer protocols. Analyze data and facilitate business process reviews in order to offer technical solutions that address the needs of the business.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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ETL/Data integration/Streaming - Talend, DataBricks, Python, Spark, Kafka. Cloud Lake and Warehouse - Snowflake, S3 Data Lake, other comparable technologies. Be an expert and drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics.
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big data jobs Title: data manager Company: Amazon in Minneapolis, MN
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