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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
$176,700Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Collaborate with cross-functional teams, including Sales, Marketing, Finance, and IT, to develop and implement data-driven strategies that drive sales enablement and productivity.
$141,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Immediate need for a talented AWS Big data Architect. Key Skills; Big data, AWS services and Data engineering.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience Proven experience (5+ years) as a Senior Database Administrator, with a focus on Data Warehouse and Data Lake environments Technical Skills In-depth knowledge of database management systems such as Oracle, SQL Server, MySQL, or PostgreSQL. - Hands-on experience with big data technologies like Hadoop, Spark, and related ecosystems (e.g., Hive, HBase, Kafka.
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The Inform and Disseminate Scientific, Analytics and Visualization Team provides high-level public health expertise on all phases of statistical models and interpretation of analysis and studies on big data sets of surveillance and purchased clinical data for performing data analysis.
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Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python.
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Understand client technical problems, articulate, and detail the understanding and provide solutions related to AWS Cloud and Big Data Domains. Build the infrastructure required for efficient extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'Big data' technologies.
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Solid fundamentals with HTML/CSS.Web development experience, especially with JavaScript (Node.js, Vue.js, React), or Python (Flask)Experience with big data techniquesExposure to Agile software development methodology.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. AI Solution Managers then lead cross-functional teams (Data Scientists, Data Engineers, App Developers, and Architects) to develop or configure AI / ML Solutions.
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Experienced in Bulk Data Upload/Migration Strategy from Legacy System to Oracle CPQ Cloud using Oracle CPQ Cloud APIs. Key skills: Oracle CPQ Big machines, technical development experience.
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Knowledge of Big Data integration tools like Talend. 5+ years of extensive experience using and administering EDI (Electronic Data Interchange) and enterprise middleware platforms, such as OpenText, SAP PI, or similar.
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Preferred Skills:Experience with Big Data analysis, Data Visualization, and/or Business intelligence tools;Ability to manage multiple tasks and prioritize changing work demands;Ability to understand legal documents and complex agreements;Familiarity with financial research tools.
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big data jobs in Atlanta, CT, Nebraska
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