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Familiar with Data Science concepts and applying them to analyze large volumes of data Comfortable with data concepts; Oracle, Java, Python, Spark, Kafka, HDFS, AirFlow, Elastic Search.
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Data Solutions Engineer will support one or more divisions of Brown & Brown in defining their data strategy and in the design and delivery of the data solutions necessary to support the data strategy.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
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Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for consumers.
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Job Title: Data Engineer. Hands-on experience analyzing and exploring large data sets utilizing Python or Databricks/Spark. 3+ years of data engineering experience or experience working as a data architect with cloud technologies such as Azure, AWS, Google, etc.
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The mission of the Gen AI Platform team is to boost the productivity of the data science and engineering community at Netflix. As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science.
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Consults on designing and developing of complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science.
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We are looking for a candidate with 5 years of experience in a Data Engineer role, who has attained a degree in Computer Science, Statistics, Information Systems. The Senior Data Engineer is responsible for leading the transformation of the Company's technology data lake and analytics platform within the AWS ecosystem.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Education:Bachelor's Degree Computer Science or Engineering (Required)Preferred Qualifications:Certification in cloud technologies (AWS Certified Data Analytics, Microsoft Azure Data Engineer, etc.
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Bachelors degree in Computer Science or related fields Master or PhD in Machine Learning Statistics Data Science or related quantitative fields preferred. Proficient in Python SQL intermediate data engineering skill set with tools libraries or frameworks such as MapReduce Hadoop Spark Hive and Big Data technologies scikitlearn Keras TensorFlow PyTorch PySpark etc.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
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Keywords:Phoenix AZ Jobs, Senior Data Engineer, Snowflake, Databricks, Redshift, Airflow, DBT, Looker, Tableau, Sigma, SQL, Python, Scala, Business Intelligence, BI, Data Science, Quantitative, Terraform, K8s, Arizona Recruiters, Information Technology Jobs, IT Jobs, Arizona Recruiting.
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Serve as a consultant to embedded delivery, analytics and data science teams in the development of their data strategy and the ideation, design and implementation of data solutions including data assets and insights.
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Degree in Computer Science, Machine Learning, Data Science or related field, with expertise in knowledge representation. 8+ years expertise as a backend/data engineer building graphs systems and graph databases.
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2025 Summer Intern Technology - Data & Analytics, Data Engineer & Data Science - Undergrad or Master's. The Data & Analytics, Data Engineer & Data Science role profile consists of.
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science data engineer jobs Title: data in Allen, TX
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