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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Key projects include cleaning, merging, and data adjudication of exciting new datasets about plant-based food sales in restaurants and grocery stores. Job title: Research Data Analyst 1.
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Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (, SQL, DBT, Apache Airflow, AWS GLUE, Spark. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Partner with data scientists, data analysts, fraud specialists, infrastructure engineers and product managers to design, build and deliver big data projects and new data platform capabilities.
$160,000 - $203,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Design and build data architecture for data science projects using big data technologies.
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Utilize big data for reliability, exploiting the new possibilities that a connected vehicle and fleet service management allow. Apply statistical analysis of reliability data by identifying the most appropriate life metric to create meaningful reliability analyses, ranging from simple time, miles analysis or cycles of operation to big data physics of failure-driven approaches.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
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Experience working with large scale data ingestion, processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.
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Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. Deep understanding of next¬-generation sequencing data and bioinformatics algorithms.
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The Assistant Neuroscience Research Coordinator will participate in all aspects of research in the lab, including acquisition and analysis of functional and structural brain imaging data, assembling, and administering cognitive and behavioral assessments, verifying data, and entering pertinent information into the database for statistical analysis and assisting with manuscript preparations.
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Job DescriptionSr Research Scientist I – Oncology Bioinformatics, Research Data ScienceWe are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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With assistance from the Principal Investigator - Dr. Manali Patel, Assistant Professor of Medicine (Oncology) at Stanford University, the Research Assistant will perform data collection, data entry, data management, simple data analysis, and creation of reports for funders as well as peer reviewed publications.
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AWS, dbt, SQL, Snowflake, data modeling, data warehouse, Tableau, Python. Experience implementing and managing robust logging systems to monitor, troubleshoot, and optimize data operations and infrastructure.
$208,000 - $282,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
big data jobs Title: data administrator in Palo Alto, CA
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