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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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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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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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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.
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Solid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFS. We are seeking a hardworking, performance-savvy, engineer to build out the big data platform and services, which power many of these customer features.
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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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Approach customers in Government, Data centers/Cloud, Gaming, and HPC. Good understanding of OEM, Web 2.0, Larger Enterprise, and Data Center market. Experience entering, tracking, and reporting data on lead activity.
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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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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Data Migration, Integration, API’s development, Data Streaming ( Batch and continuous) and scheduling. Design and implement Data Migration and Data Integration across cloud and hybrid environments.
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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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Work with cross functional teams to establish Data governance, Data pipelining standards, client facing reporting enhancements and other analytical or data needs including integration with BI toolsAs a Staff Data Engineer, you can look forward to:● Being the shepherd in establishing Snowflake Governance across several business units.
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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 Senior Data Scientist in the Ads team at Sam's Club, a division of Walmart Inc., occupies a pivotal role in supporting and advancing Machine Learning (ML) implementations that drive innovative advertising solutions.
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big data jobs Title: senior developer in Sunnyvale, CA
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