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Employ integration with major big data frameworks, such as Databricks, as necessary to address client needs. Proficiency in Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. What You'll Achieve:You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance.
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Experience with big data analytic tools such as Databricks or Azure Synapse. Praescient Analytics is in search of a Data Engineer to help develop best practices and providing consultative advice across a wide range of big data technologies and data management tools for our client.
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As a Analytics COE Use Case Manager you will be responsible for driving best in class data engineering by designing, building and maintaining cloud native big data solutions. We are building a team to drive analytics innovation across AIG’s business, technology and data architecture in the mission of becoming a data enabled organization.
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Bachelor’s degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering.
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Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc. Audit Roku’s Data Warehouse and Big Data Platform for compliance with GDPR, CCPA and other data privacy regulations.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.
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Proficiency with BI software (preferably Microsoft Power BI) and software tools for big data and statistical analyses (e.g., SQL, R, Python, SAS, etc. Evaluate large datasets and prepare demographics and other administrative data for mandated periodic for the U.S Housing and Urban Development (HUD), and NYCHA's submission for the City's Mayor's Management Report and Consolidated Plan.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Java/Python, SAS, R)Experience with relational database systems like SQL Server, Amazon Redshift, Oracle, Big Query, etc. About the job The Red Hat Global Sales Go-To-Market Strategy & Transformation team is looking for an experienced Data Scientist to join our team.
$158,130 - $260,940ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
$130,000 - $145,000ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today's most cutting-edge digital technologies to create value and grow.
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