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Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. AWS Databricks Cloud Data Engineer - Remote. Experience in Cloud Data Warehouses in Redshift, BigQuery, or analogous architectures is a plus.
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Knowledge of data modelling tools such as Erwin, IBM Data Architect, or Microsoft Visio is required. We are seeking a highly skilled and experienced Chief Data Architect to join our team and lead the design and implementation of large-scale data platforms.
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Coldwell Banker Real Estate was the first real estate brand to harness the power of big data; the CBx Technology Suite uses predictive analytics and machine learning to analyze markets, target buyers and sellers and provide agents with a simple platform to create unique and effective marketing plans for each listing.
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The Data Architect will establish and enforce architectural standards, frameworks, and solutions within the Data Engineering, Data Quality, and Infrastructure teams, aligning with evolving technologies and business needs.
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Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
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Proficiency in data ingestion, modeling, and visualization tools, such as Snowflake, Microsoft Azure Data Factory (ADF), and Power BI. 7+ years of experience in designing and implementing enterprise data stores, data warehouses, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, using tools like Azure Synapse or Snowflake.
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Exposure to Big Data managed services such as Azure HDInsight, Databricks, Azure Kubernetes Service and AWS EMR. Understanding of structured Data Warehouse and unstructured Data Lake creation/maintenance using managed services such as AWS (S3, Glacier, Redshift), and Azure (Storage, Synapse 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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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 24 days ago - UpvoteDownvoteShare Job
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Prior experience in publicly-traded, manufacturing company and Big 4 or global public accounting firm is highly preferred. Brands in the Apogee portfolio include Alumicor, EFCO, Harmon, Linetec, Tru Vue, Tubelite, and Viracon.
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Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to refine models; clean and validate data for accuracy and consistency. PHS is seeking an experienced data scientist to help architect, engineer and implement a transformational approach to using data within senior living.
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Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
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Accurate data is the top priority for our Geomatics team. You are familiar with boundary survey principles and Record Maps, Surveys and ALTAs∯*∯ You are self-motivated and have the ability to work independently and/or supervise a field crew to collect data utilizing GPS/GNSS and conventional survey techniques as well as perform data reduction and drafting of the final survey product.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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big data jobs Title: data architect Company: Eteam in Minneapolis, MN
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