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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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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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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, 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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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work.
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Advanced programming experience and big data experience. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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The Cytogenetic Technologist Technical Lead correlates data based on clinical knowledge, technical expertise, and other conditions affecting test results and provides oversight of training, quality, and staff competency for their area of expertise.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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Managing clients in 40+ countries, their global team of 300+ focuses on data-driven strategies that help connect brands to the right consumers through performance partnerships, traditional affiliate, influencer, performance PR, content and B2B partnership marketing.
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Thomson Reuters - Faster access to Snowflake data and a 60x increase in data usage resulting in greater productivity. Immuta was recognized as the Snowflake Data Security Partner of the Year in June 2023.
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Our suite of services includes licensing and multimedia sponsorship management; publishing, audio, digital and social media; data analytics; ticketing, ticket sales and professional concessions expertise; branding; and campus-wide business and sponsorship development.
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SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica. SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica. Microsoft Azure, ADF, Databricks.
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Streaming & Data pubilishing tools - HEC, Kafka, DD(Data Distributor), Cassandra, Autosys. Skills: Cobol, DB2, CICS, JCL, VSAM, Git / Code Repository usage, CI/CD, Jenkins Pipeline, JIRA, Agile Methodology, zOS Connect.
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Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc. Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
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big data jobs Title: developer in Minneapolis, Peoria, Arizona
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