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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Databricks Implementation: Utilize Databricks for advanced data processing, machine learning, and big data analytics, integrating with Snowflake for seamless data access and analysis.
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Experience in understanding, designing and architecting Big data platforms services, systems using Java/python, SQL, Databricks, Snowflakes, cloud native tools on Azure & AWS. Proven Experience with Cloud and Big data platforms, building data processing application utilizing Spark, Airflow, Object storage etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2-4 years of experience in modern data technology stacks such as Google Big Query, Snowflake, Databricks, etc. Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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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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Hands-on experience in troubleshooting SFDC connectors/listeners, Database Connectors, and Web services Connectors/Listener, complex scripts (Java or Groovy scripts), process/sub-processes interdependencies and scheduled data jobs.
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka. Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras.
$125,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong experience in building out microservices using technologies that include Java, Spring Boot, node. Strong in data modeling within both SQL (such as Oracle, SQL Server) and NoSQL databases (such as Mongo DB, Cosmos DB.
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Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Experience with coding language Java, Python, Scala, Clojure.
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The successful candidate will have acquired advanced knowledge of generation and analysis of sequence data; have extensive knowledge of coding languages for data mining and the development of tools, such as R, Python, Java and SQL; experience with large multi-dimensional data sets; some knowledge and experience with genetic statistics analytical methods; and the ability to identify, propose and develop a new form of technology and methodology to bioinformatics research.
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WSP is currently initiating a search for an Early Career Civil Engineer to support our Southern States-East District. Under general supervision, assist with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, geotechnical data, and other matrices for project development, design, and construction.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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