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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) The Data Engineer will get to work with data at scale. Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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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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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and specially DataBricks.
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We are looking for a Senior Big Data Engineer to join our IMS team in Philadelphia, PA. This is an exciting new opportunity to support data excellence and research intelligence projects.
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Understanding of cloud data engineering and integration concepts. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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The Data Scientist is a key role in the transformation of business. Proven Machine Learning experience and involvement in data science projects and product delivery. Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.
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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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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Experience with big data technologies (Hadoop, Spark) and data streaming services (Kafka). Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus.
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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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big data jobs Title: big data engineer Company: Bayer
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