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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Collaborate with cross-functional teams to understand data needs and deliver solutionsStay updated with the latest industry trends and advancements in big data technologies, particularly in healthcare applications, and proactively suggest improvements to enhance data processing processes and tools.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute.
InternExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Experience in business IT systems, datacenter builds, server and/or workstation technology. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community.
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Minimum Qualifications- 5+ years of hands-on experience in developing, implementing, and validating Transaction Monitoring programs- Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors- Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc- Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala.
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Familiarity with big data technologies such as Apache Spark, Hadoop, etc. Excellent understanding of relational databases and data-modeling techniques are needed, and Cassandra or other NoSQL knowledge are a plus.
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Design and implement baseboard management controller (BMC) features to support Supermicro products. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
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Strong knowledge and practical experience with big data technologies such as Hadoop, S3, Cloud Data Warehouse solutions (like Snowflake, Redshift, or Databricks). Keep abreast of the latest trends in data engineering and big data technologies.
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Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processing using various technology stack. Lead and perform the design, development, implementation and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and data-intensive solutions that are scalable, optimized, and fault-tolerant.
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Join the Fintech and SaaS revolution that is helping small businesses grow faster and get the technology and insights previously available only to the “big guys.” As a Data Engineer, you will be a part of a small but growing team of hardworking people responsible to lead the Data platform initiatives at Clover and establish a scalable and streamlined Data ops culture across all Clover engineering teams.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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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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As the Data Scientist, you will lead a team of talented professionals to extract insights from large datasets, develop predictive models, and drive data-driven decision-making to optimize user engagement and retention.
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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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big data jobs Title: technology lead Company: Feed in Sunnyvale, CA
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